Senior Data Engineering Manager

About the position

Proactively mentor and grow the team, identify the required skills, hire the best talent, actively manage their performance, and help them to grow to their fullest potential. Proactively drive the vision for data engineering across our data platform and define and execute on a plan to achieve that vision. Lead the design and development of the Operational Data Store to integrate, cleanse and conform data from multiple processor environments. Lead the design and development of the Analytic Data Environment. Lead the effort to design, build and deliver high impact Dashboards, Reports and Data Visualizations for both internal and external users. Lead the effort to create a centralized data dictionary, with subject based dictionaries for the different business domains. Collaborate with the Data Product Manager on Business needs, solutions, priorities, and delivery schedules. Drive data quality and stewardship across QRails Data Projects related business areas. Define and manage SLAs for all data sets and processes running in production.

Responsibilities

• Mentor and grow the team
• Identify required skills and hire the best talent
• Manage team performance and help them grow
• Drive the vision for data engineering across the data platform
• Lead the design and development of the Operational Data Store
• Lead the design and development of the Analytic Data Environment
• Design, build and deliver high impact Dashboards, Reports and Data Visualizations
• Create a centralized data dictionary with subject-based dictionaries
• Collaborate with the Data Product Manager on business needs and solutions
• Drive data quality and stewardship across data projects
• Define and manage SLAs for data sets and processes

Requirements

• 5+ years of Data Architecture experience
• 2+ years' experience managing and leading a large team of Data Engineers
• 6+ years of management experience with information technology programs and services
• Strong data infrastructure and data architecture skills
• Proven track record of leading and scaling data teams
• Strong operational skills to drive efficiency and speed
• Strong project leadership
• Strong vision for data engineering impacts
• Experience scaling and managing large data engineering teams
• Experience working in a dynamic and collaborative work environment
• Working knowledge of Agile development methodology
• Communication and leadership experience
• BA/BS in Computer Science, Math, Physics, or other technical fields

Nice-to-haves

• Experience with ERwin Data Modeler V7 or a comparable data modeling tool
• Experience working as a member of distributed data architecture teams
• Understanding of information systems and data life-cycle management best practices
• Experience with Service Oriented Architecture (SOA) and web services
• Experience with enterprise data management technologies
• Experience with DevOps principles and CI/CD pipelines
• Familiarity with Jira, GitHub, Jenkins, Kubernetes, Docker, MySQL, Python, AWS