Manager, Data Engineering Resume Samples

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E Schaefer

Emil

Schaefer

814 Lowe Road

San Francisco

+1 (555) 634 2327

814 Lowe Road

San Francisco

Phone

p +1 (555) 634 2327

Experience Experience

Phoenix, AZ

Manager, Data Engineering

Phoenix, AZ

Smitham, Casper and Prosacco

Phoenix, AZ

Manager, Data Engineering

Establishing partnerships with key IT partners and liaise with strategic vendors in support of data warehousing initiatives
Having a patient and open-minded demeanor with a positive attitude
Delivering reporting and analytics solution by owning data design, data extracts and transforms
Identify and evaluate new/current data management technologies
You will manage analysts and developers to report against initiatives by identifying key metrics and building/enhancing dashboards to track business progress and assess core initiatives
Use business intelligence and visualization software (e.g., OBIEE, Amazon QuickSight, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Support Technical Program Manager, Research Scientist, and a growing virtual team aimed at analyzing usage data to derive new insights and fuel customer success

Philadelphia, PA

Senior Manager Data Engineering

Philadelphia, PA

Grimes-Gottlieb

Philadelphia, PA

Senior Manager Data Engineering

Set and monitor performance goals & objectives, including providing feedback through performance appraisals and day-to-day discussions
50% People Management/Performance Management
Provide managerial oversight of delivery of multiple scrum teams
Work closely with the Analytics Product & Platform teams to develop a strong comprehension of goals, technologies and architecture of the Analytics Platform
Track record of developing employees both technically and professionally
Advocate up the management chain in support of the accomplishments and challenges of your teams
Interview and make final hiring decisions for roles on the Analytics Product & Platform teams

present

New York, NY

Senior Manager, Data Engineering

New York, NY

O'Conner and Sons

present

New York, NY

Senior Manager, Data Engineering

present

Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goals
Help establish best practice like standards and guidelines for design & development, deployment, support and analytics and mining
Data Storage and Computation Frameworks, Performance Optimizations
Help establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social
Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementation
Expert in in Hadoop eco-system with one or more distribution like Cloudera and HortonWorks
Knowledge in computation frameworks like Storm and Spark

Education Education

Bachelor’s Degree in Computer Science

James Madison University

Bachelor’s Degree in Computer Science

Skills Skills

Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
A passion for technology and a knack for details
Good communication skills- both verbal and written
Use business intelligence and visualization software (e.g., OBIEE, Amazon QuickSight, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Support Technical Program Manager, Research Scientist, and a growing virtual team aimed at analyzing usage data to derive new insights and fuel customer success
Build a high quality BI and Data Warehousing team and design the team to scale
Create ETLs to take data from various operational systems like Adobe Target, Adobe Connect, Sales Force and create a unified dimensional or star schema data model for analytics and reporting
Leading a team of data engineers who are responsible for developing data engineering solutions (Data model design and development, ETL development as well as reporting and analytical solutions)
Drive data quality across the product vertical and related business areas
Demonstrated ability to work in a team

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15 Manager, Data Engineering resume templates

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Manager, Data Engineering, Analytics Resume Examples & Samples

Proactively drive the vision for BI and Data Warehousing across the company, and define and execute on a plan to achieve that vision
Build a high quality BI and Data Warehousing team and design the team to scale
Build cross functional relationships with Data Scientists, Product Managers, Engineers, and Internet Marketers to understand data needs and deliver on those needs
Manage data warehouse plans across all product areas. Drive the design, building, and launching of new data models and data pipelines in production
Manage development of data resources, gather requirements, and support product launches
Drive data quality across all product and business areas
Develop tools to make BI processes repeatable and automated, and increase the efficiency of the team

Senior Manager Data Engineering Resume Examples & Samples

Working with Data Scientists to create models and other data tools that can be efficiently deployed in Scotiabank’s production Hadoop environments
Creating Hive views, Pig and Python scripts and Scala routines that package data from the Enterprise Data Lake (EDL) into consumable formats and structures suitable for time series analysis, machine learning or clustering
Providing expert guidance to business teams on using the Hadoop tools associated with the EDL
Working with the Data Librarian to maintaining the EDL metadata to ensure accuracy
Leadership by organizing his team effectively
Ability to prioritize and deliver tasks with competing priorities and stakeholders
Customer focus through on-going communication with Data Scientists about their projects, techniques and experiences
Thought leadership by staying current with Hadoop technologies and trends
Teamwork by collaborating effectively with the other Hadoop COE teams
Two years experience leading a small team
Ability to manage people, budgets and schedules
Two years experience with Hadoop technologies including Python, Hive SQL, and Scala

Manager, Data Engineering Resume Examples & Samples

Experience with accessibility evaluation and validation software
Demonstrating Strong EQ (Be Aware) – Having a keen sense of self awareness is the foundation of leadership at Adobe. As a leader, we look to you to inspire teams to greatness with empathy and mindfulness of your impact on others from interns to the Board of Directors. And whether you’re in headquarters, New York, London, Tokyo or Bangalore, you’re attuned to emotional, situational and cultural surroundings and adapt your approach accordingly
Scaling the Business (Be an Owner) – You’re someone who sees and understands the vision of the company. You’re able to articulate business strategy and develop business processes, systems and structures to make performance sustainable. Your mission is to deliver an exceptional customer experience by promoting shared goals and driving accountability

Manager, Data Engineering Resume Examples & Samples

You will help support the execution of our Autodesk Help strategies using analytics
You and your team will partner with the Autodesk Knowledge Network, Social Media & Community, Knowledge Management and Division Services teams with the goal of increasing engagement, improving customer satisfaction and reducing Contact Us rates
You will develop expertise in designated business areas to provide “deep dive” analysis into metrics trends and anomalies, continually mining insights to drive product, support and operational improvements
You will manage analysts and developers to report against initiatives by identifying key metrics and building/enhancing dashboards to track business progress and assess core initiatives
You will assist in the design and preparation of quarterly product supportability reviews for product divisions
You will serve as a thought leader for leadership to translate insights into actions and business priorities

Manager, Data Engineering Resume Examples & Samples

Build cross functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
Manage data warehouse plans across a product vertical. Drive the design, building, and launching of new data models and data pipelines in production
Manage development of data resources and support new product launches
Define and manage SLA’s for all data sets and processes running in production
6+ years of experience in BI and Data Warehousing, preferably in a consumer web or mobile company
Strong communication and leadership skills, with the ability to initiate and drive projects proactively
Effective project management skills
Strong data architecture skills
Experience with large data sets, Hive, and data visualization tools a plus
BA/BS in Computer Science, Math, Physics, or other technical field. Advanced degrees preferred, but not required

Manager, Data Engineering Resume Examples & Samples

Develop in-depth knowledge of data systems spanning Amazon retail, Sales CRM and marketing systems, and ad serving platforms
Use your knowledge to architect data warehousing and BI solutions that solve problems that cut across Amazon business functions including Sales, Marketing, and Finance
Interface with business customers, gathering requirements and delivering complete Data Engineering, Data Warehousing, and BI solutions
Manage and develop a team of Data and BI Engineers; providing mentorship, guidance, and clear paths for career development
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
3+ years in relevant experience as data engineer, data scientist, software engineer, business intelligence engineer, or equivalent
Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
Ability to work cross-functionally, building and maintaining trust with internal stakeholders
Media and advertising domain expertise·
Advanced knowledge of Oracle BI tools, MySQL, Linux/UNIX

Manager, Data Engineering Resume Examples & Samples

Responsible for leading and managing the day to day operation of the Data Platform for some key enterprise class applications
Leads a team of Data Engineers who are responsible for the execution of the Enterprise Data Platform and ensures that there technical output conforms to best practices and standards
Works closely with the Business Analysts to translate business requirements into an end to end technical data development plan
Remains up to date on key technology, business and industry trends
Expert level experience with Oracle Database
Expert level experience with Performance Optimization of ETL and Databases
Experience with ETL tools like ODI or Infomratica is a plus
Builds a cohesive team, and develops structure & direction to meet or exceed customer needs
Leverages systems & processes to attract, develop & retain talented individuals
Ensures customer solutions, practices and procedures are carried out and achieve their objectives

Senior Manager Data Engineering Resume Examples & Samples

Conduct deep dive investigations into business problems and identify potential opportunities
Identify and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects
Track realized savings and impacts, and communicate results with senior leaders
Master’s degree in Engineering, Computer Science or Masters in Math/Statistics/Finance or related discipline
Ability to work in a deadline-driven work environment; ability to re-prioritize on a regular basis in order to remain current with business needs
Ability to influence others in a positive and professional manner
Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases

Manager, Data Engineering Resume Examples & Samples

Create, design, evolve and promote new data and information related projects to drive standards, scalability and efficiency with a data intensive organization
Create content around education and technology transfer to development and operations teams for completed projects
Works collaboratively with Professional Services, Support and Client teams to proactively drive timelines and commitments
Manage staff workload, capacity and SLAs across multiple client engagements
Lead professional growth and development of staff
Bachelors degree in Computer Science or related field
6+ years of experience in software development or engineering
2+ years of experience in managing data teams
Strong project management experience successfully managing enterprise-level and operational initiatives
Very good understanding of data architecture, processes, and components including Microsoft & Salesforce.com CRM software
Strong SQL skills and familiarity with ETL and Reporting such as Microsoft BI stack
Strong knowledge of project management best practices and methodologies
Proven business analysis and problem-solving abilities
Excellent written and oral communication skills; Excellent listening, presentation, and interpersonal skills
Able to prioritize and execute tasks in a high-pressure environment with internal staff and third party vendors

Senior Manager Data Engineering Resume Examples & Samples

50% People Management/Performance Management
Work closely with the Analytics Product & Platform teams to develop a strong comprehension of goals, technologies and architecture of the Analytics Platform
Provide managerial oversight of delivery of multiple scrum teams
Set and monitor performance goals & objectives, including providing feedback through performance appraisals and day-to-day discussions
Determine both individual performance and team goals and ensure alignment with the overall product line goals and objectives
Act as an escalation point for the team and the team's performance; actively resolve team conflicts
Clarify roles and responsibilities for direct reports
Attend daily stand-ups, retrospectives, planning sessions, sprint reviews, etc. often enough to be abreast of common occurrences
30% Driving Execution
Maintain technical knowledge of Analytics Platform architecture, tech stack, dependencies, scale and performance
Provide influential connective tissue when needed by encouraging teams to utilize best practices upheld by other teams
Drive tri-annual release planning for teams within span of control; Contribute to the annual strategic planning process
Identify and manage team based risks and dependencies in partnership with product management and TPM as applicable
Eliminate barriers to productivity; determine strategies and tactics to help direct reports avoid distractions during sprints
Share the team vision and strategy to foster an understanding of the overall direction and the "why" behind decisions
Ensures delivery of quality releases through management of direct reports; conduct code reviews as needed
10% Talent Development
Hold ongoing career pathing discussions
Provides feedback to direct reports, on both an ad hoc and scheduled basis. Identifies strengths and development needs
Identify timeframe and readiness for promotion of direct reports; solicit cross functional feedback in support of promotions and employee rewards
10% Building Effective Teams
Interview and make final hiring decisions for roles on the Analytics Product & Platform teams
Participate in interview process and review candidate selection for other teams as needed
Advocate up the management chain in support of the accomplishments and challenges of your teams
6-8 years of leading teams in a technical environment
Track record of developing employees both technically and professionally
Familiarity with Univ/Linux, Big Data, SQL, NOSQL, MPP databases, and various other technologies
Exposure to object oriented programing, relational database technologies, distributed computing tech (Hadoop, Spark), RESTful API, WebUI (HTML 5) and Modern JS frameworks

Manager, Data Engineering Resume Examples & Samples

Play a key role in end to end data on boarding and manage a team of Engineers creating a data pipeline for the end application
Work closely with technical product managers, data modellers and other internal stakeholders to on board the data
Conduct code reviews, process implementations and own the deliveries from the team
Assist and shadow rest of the team members and accomplish the tasks in a timely manner
Bachelor’s Degree, with 10 + years related IT experience
Experience in managing a data engineering team of 10 to 15 engineers
Extensive experience on distributed systems frameworks like Hadoop including hands on experience on HDFS, MapReduce etc
Familiarity with big data platforms like Cloudera/Altiscale/Hortonworks will be an advantage
Excellent SQL skills and in-depth understanding of relational databases
Adept at working on UNIX environments and exposure to shell scripting
Experience in working with cloud based services like AWS
Work with an innovative bend of mind to develop creative solutions for data on boarding
Work closely with fellow Developers and Managers to understand requirements
Good written skills

Senior Manager, Data-engineering Excellence Resume Examples & Samples

Clarify the vision - See the forest above the trees and inspire the team toward the goal
Mentor - The team should want to strive to your technical capability and they should benefit from it without having to seek it out
Evolve the process - Help set standards for onboarding, requirements, documentation, coding, branching, code review, deployment, support, operations, platforms, analysis, automation, communication, maintenance, decommissioning and many other necessary processes
Drive the conversation - Have the soft social, thoughtful and empathic skills at a level necessary for a large team and many customers
Be responsible - Help own, set and meet the expectations on behalf of the engineering team
Fit the role - Grow, participate, drive, delegate and track the team and its deliverables. Be predictable and consistent
Create awesome software - Use agile techniques to build software and platforms like recommendation engines, analytics engines, and advertising engines
Command data - Leverage petabytes of data, data mining, statistics, machine learning, deep learning, open source, orchestration tools, NoSQL, Apache Spark, Apache Kafka
Prosper with us - Work with devops, analysts, data scientists, programmers, marketers, filmmakers, finance, project management, product management and leaders to amaze, surprise and delight
15+ years of team based programming experience
5+ years of management experience
5+ years of data pipeline experience
Advanced experience and knowledge Java, Kotlin, Scala, SQL, Python, TypeScript, Zsh, or lambdas. Know which to use for the time & purpose
Advanced experience with Algorithm and data structures fanatic
Proven experience building and deploying enterprise scale solutions
5+ years of Agile methodology experience

Manager, Data Engineering Resume Examples & Samples

Thought leadership and consultative support to all data and software activities within analytics
Collaborate with IT teams and analytics to devise a data strategy that addresses end modeling goals
Oversee, construct, maintain our ETL process
Identify and evaluate new/current data management technologies
Create a fluid, end-to-end vision for how data will flow through the organization
Implement measures to ensure data accuracy and accessibility
Having a patient and open-minded demeanor with a positive attitude
At least 4 years of relevant experience
Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects
Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
Expert knowledge of SQL and scripting
Programming skills in R or Python preferred
Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting
Experience and affinity towards open source languages, data and statistically oriented language (Python, R)
Ability to create test plans, define testing strategies, and get a kick out of uncovering those hard-to-find bugs
Programming experience in a Linux/Unix environment
Excitement and passion for advanced analytics
Team player and able to collaborate effectively both the
Team player and able to collaborate effectively both the analytics team and brand teams
A passion for technology and a knack for details

Senior Manager, Data Engineering Resume Examples & Samples

Data Integration, Governance & Wrangling
Analytics & Visualizations
Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goals
Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementation
Lead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and quality
Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality
Help establish best practice like standards and guidelines for design & development, deployment, support and analytics and mining
Help establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social
Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals
Define and drive key transformational programs like customer 360 degree view for the clients
Functional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, DSP
Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.)
Run workshops with clients and align client stakeholders to optimal solutions
10+ years of experience within the field of data engineering
Excellent understanding of data technologies landscape
Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases
Well versed with Software as a service, Platform as a service and Infrastructure as service concepts and can drive clients to a decision
Expert in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models
Expert in one or more ETL, BI, Analytics and advanced visualization technologies
Expert in in Hadoop eco-system with one or more distribution like Cloudera and HortonWorks
Knowledge in computation frameworks like Storm and Spark
Expert in master data management and building customer 360 degree views
Strong coordination and negotiation skills

Manager Data Engineering Resume Examples & Samples

Data Storage and Computation Frameworks, Performance Optimizations
Infrastructure & Cloud Computing
Data Management Platforms
Defining technical and business requirements for data related functionality and platform and convert the requirements into functional and logical architecture
Hands-on implementation in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementation
Work in a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and quality
Contribute to building standard data practices like governance and address other non-functional issues like data security, privacy and quality
Contribute to building best practice like standards and guidelines for design & development, deployment, support and analytics and mining
Contribute to building best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social
Define solutions for key transformational programs like customer 360-degree view for the clients
Create solution options and lead pros & cons discussions with clients
8+ years of experience within the field of data engineering
Excellent understanding of common data technologies
Well versed with Software as a service, Platform as a service and Infrastructure as a service concept
Experienced in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models
Experienced in one or more ETL, BI, Analytics and advanced visualization technologies
Experienced in in Hadoop eco-system with one or more distribution like Cloudera and Horton Works
Experienced in computation frameworks like Storm and Spark
Knowledge in cloud and social media technologies and integrations
Experienced in master data management and building customer 360 degree views
Strong communication skills verbal, written and visual presentations
Multi geo experience and distributed delivery experience in large programs
Business Knowledge: Data driven marketing experience would be a plus

Manager, Data Engineering Resume Examples & Samples

Delivering reporting and analytics solution by owning data design, data extracts and transforms
Leading a team of data engineers who are responsible for developing data engineering solutions (Data model design and development, ETL development as well as reporting and analytical solutions)
Delivery of overall architecture and high level design. You will apply broad knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements. You will also own development and operational support plans
Interfacing with a diverse set of customers (Program Managers, Retail business stakeholders, and Senior Management) on business objectives, prioritizing projects and feature sets, gathering requirements and delivering complete reporting solutions
8+ years of experience in data warehousing building technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures etc
3+ years of experience managing a data engineering team
Excellent written and verbal communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
Prior experience in working with stakeholders to understand customer needs, prioritize requirements, and envision reporting and data engineering solutions
Experience with next gen reporting tools like Tableau, Quicksight etc
Demonstrated thought-leadership with a passion for translating data into action and business insights
Demonstrated ability to earn trust of senior leadership and business stakeholders through collaboration and attention to detail
Retail, ecommerce or high tech experience is a plus

Manager, Data Engineering Resume Examples & Samples

Ensure highest level of support for the Companies’ data warehouse program and applications. Lead all phases of application delivery to ensure its readiness and use
Manage multiple product roadmaps reviewing blueprints and gap documents, functional design prototypes and specifications ensuring proper change control processes are followed and platforms are architected to company design principles
Understand high-level requirements of the business. Present the business with the possibilities available to them through data warehousing
Establish and ensure adherence to a set of guiding principles for data warehousing
Manage internal and outsourced team resources ensuring their responsibilities are being met
Establishing partnerships with key IT partners and liaise with strategic vendors in support of data warehousing initiatives
Bachelor’s Degree in Computer Science, Engineering, Business or similar required
7 - 10 years of relevant experience

Manager, Data Engineering Resume Examples & Samples

Create ETLs to take data from various operational systems like Adobe Target, Adobe Connect, Sales Force and create a unified dimensional or star schema data model for analytics and reporting
Experience with scripting languages like Python, Ruby, or Unix shell scripts
Bachelors degree in CS or related technical field and 5+ years of experience in data warehousing
5+ years of relevant experience with ETL, data modelling, and business intelligence architectures
System Design experience
Experience building self-service reporting solutions using business intelligence software (e.g., OBIEE, Amazon Quicksight, etc.)
Big Data (recent experience)
Exceptional troubleshooting and problem-solving abilities

Manager, Data Engineering Resume Examples & Samples

Provide day-to-day management and oversight for several data engineers at varying levels of expertise in their own careers, building data-related infrastructure and features for direct-to-consumer apps running at scale
Understand the team’s committed-to deliverables, and guide them toward completion of that work on time, and at quality. Participate in the agile process, and help to ensure that the work assigned to individual engineers is the right level of challenge, and in areas that interest them and that they can be successful in
Serve as a technical and leadership mentor to the team. Set goals with individual team members and provide regular feedback to them during their execution of those goals
Encourage and set the example for collaboration across functions. Forge solid relationships with peers in other engineering disciplines and more widely, in Product Management, Marketing, Quality Assurance, Analytics, etc
Overall, own the delivery of our data services as “best in class.” Instill in the team a desire and a capability to deliver functionality that is seen by stakeholders and customers as setting the bar
Familiarity working within an agile environment
Expert-level knowledge of modern data engineering as it pertains to supporting a large-scale consumer mobile and web application. Specifically, understanding of and exposure to various current-day tools and frameworks for data- and distributed systems engineering, including: ORM, e.g. JPA or Hibernate; Dynamo DB, Bigtable, HBase, Cassandra and/or MongoDB; Kafka, ActiveMQ, Kestrel; Tinkerpop and/or GraphQL; Kubernetes or other container solutions; Elastic MapReduce and/or Hadoop; ElasticSearch, Solr (Lucene) and/or Hive
Demonstrated skill in building complex data-heavy solutions that ship at-scale. Must have participated on, if not led, a team that built data services that backed a high-profile consumer application
Familiarity with streaming media applications and the data unique thereto is a plus
Passion for quality. Code coverage with unit tests should be as complete as possible. Performance and correctness are not optional. Efficiency is beautiful
Excellent verbal and written communication skills. Able to be one of the team, but also manage up to Directors and upper-level executives
3-5 years (minimum) of hands-on data engineering experience
2 years (minimum) as a software engineering manager, with 5+ direct reports at any given time

Manager, Data Engineering Resume Examples & Samples

Bachelors degree in Computer Science or Engineering
Demonstrated ability to work in a team
Experience working with relational databases
Debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems

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