Manager - Data Engineering

Role and Responsibilities:

• Manage and provide leadership around data infrastructure and data engineering by overseeing development, customization, and management of data integration tools, databases, warehouses, and analytical systems
• Work across a wide range of problems in the data ingestion, data compute, data transport, data orchestration, data interoperability, experimentation, and data privacy areas
• Review and integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements
• Manage the evaluation and integration of new data sources as they become available and monitor the performance, scalability, and security of data
• Identify and improve the technical competencies within the team and establish practices for delivering engineering excellence
• Partner with client engineering teams to understand their data needs and help create tools and automation that helps them derive value from their data
• Works with the Business Intelligence delivery team to build out target information delivery architecture across PowerBI
• Lead by example, role-modeling best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting and incident response.

Requirement/Competencies:

• Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Computer Science, Information Technology, Computer Engineering or equivalent
• 6+ years IT experience in software development for data systems at scale (building data warehouse, data marts, data lakes, ETL, analytic solutions, etc.)
• 4+ years of leadership and people management experience in a technology environment
• 3+ years of experience implementing solutions with AWS, specifically data services (EC2, EMR, RDS, Redshift, Aurora-Postgres, Glue ETL, Lambda, SNS, SQS etc)
• Knowledge of market trends including cloud technology
• Demonstrated interest in learning about emerging data platforms and Big Data technologies
• Expert working knowledge of Python programing language, SQL, and data modeling, with the ability to understand the context of a business question and build a holistic answer
• Experience modeling data in a warehouse such as Snowflake, Redshift, and or BigQuery
• Managed agile/scrum team(s) before of different skill levels and know when to be a motivator, coach, or a player
• Strong communication, problem solving, and organizational skills
• Must be detail oriented, quality driven, and able to shift quickly to new tasks