Data Analytics Engineering Manager, dv01

• An experienced data engineering leader. You have 2+ years experience managing a team of data or analytics engineers and 7+ years overall data engineering experience, with a strong background in software development fundamentals
• Comfortable with agile project management – leading sprint planning and execution
• Able to deal with ambiguity and changing priorities due to business needs and situational conditions
• Experienced with mentoring and coaching engineers
• Technically credible – this role does not involve writing large amounts of production code, but will require previous experience as an individual contributor to advocate for technical solutions to engineering and business teams
• A servant leader – you empower those around you and help them grow and perform to the best of their abilities rather than micromanage
• A skilled written and verbal communicator – you seek to understand others first, and be understood second, seeking feedback from others and influencing with persuasion instead of power or position

Desirable

• Directly manage a team of 5-8 Data and Analytics Engineers
• Provide people management to mentor, train, and promote professional growth of the team (hold regular 1:1s, provide context on priorities, sponsor learning initiatives)
• Grow the team by closing skill gaps and hiring where needed
• Partner with analysts, sales, and project managers to onboard new clients so that they can quickly scale up their data sharing with dv01
• Manage, prioritize, and execute on migrating dv01’s pipelines from Spark and Scala to dbt and BigQuery
• Collaborate with Project Management to run sprint rituals and ceremonies (sprint planning, retros)
• Review and contribute to technical planning (roadmaps, RFCs, and tech specs)
• Communicate technical decisions to stakeholders across business and engineering teams
• Work with engineering management peers to continuously improve the Engineering Organization (e.g., processes, culture)