Manager ll, Data Engineering

We are looking for a Tech Lead Manager to help shape the future of Data Engineering at Thirty Madison and fulfill the team mission of “Make all the Data Available - correctly, quickly and affordably”. You will lead a small and mighty team through designing, implementing and maintaining the platform that empowers fast and high quality decision making across the business. You will succeed in this role, if you find joy in bringing people together across many functions to solve problems, you have a strong desire to remain technical and above all, you embody the Thirty Madison mission of transforming healthcare through affordability, accessibility and quality.

Thirty Madison is at a pivotal point in its growth, making it an exciting and opportune moment to join the team - jump aboard!

Comp | Perks | Benefits

• The base pay range for this position is $148,000 - $203,500 per year.**
• Competitive Salary + Annual Incentive Plan + Stock Option Package
• Robust and affordable Health, Dental, and Vision plan options
• 401k with a match, commuter benefits, and FSA
• Annual $750 vacation stipend and $500 happiness stipend
• Flexible time off policy
• Career growth opportunities

** Within the range, individual compensation will be determined through a wide variety of factors including but not limited to education, experience, knowledge, and skills. Please note that the compensation range listed reflects the base salary only, and does not include incentive target, equity, or benefits.”

What you get to do every day

• Lead, mentor and manage a talented data engineering team, fostering project success and individual career growth.
• Dive into hands-on work across our data stack, from Data Lake and Warehouse to ETL platforms and Cloud Infrastructure.
• Collaborate with stakeholders across the company, ensuring effective engagement and management.
• Partner closely with Analytics Engineering, Product Engineering, and Platform Engineering, to develop a culture of “shift left”
• Develop, iterate, and execute the Data Engineering Strategy for lasting impact and success.
• Maintain, refine and innovate on our Data Architecture to meet SLAs and evolving needs.
• Balance constraints across cost, security, compliance, quality, and other factors in decision-making.
• Participate in our on-call rotation and manage incidents to resolution.

What you bring to the role

• Proficiency with line managing (eg. project management, capacity planning, stakeholder management) and people managing (career growth, expectation setting, performance management, fostering positive culture)
• Background in Data Engineering, excelling in fundamentals (eg. architecture, patterns, databases, schema design, programming) and proficient in managing trade offs
• Proficiency and recent hands on experience in maintaining, developing, iterating on and reasoning about systems both technical (eg. ETLs, cost management) and non-technical (eg. SLAs)
• A passion and eagerness to develop and foster a Data Driven culture across a business
• A problem-first and ownership mentality - identifying problems up to the org-level (eg. process, culture) and driving them to completion
• Elegantly manage stakeholders across a diverse range of functions, even when priorities change

Bonus Points

• Experience working in healthcare, or similar regulated spaces
• Experience working as a Software Engineer or DBA or Analytics Engineer or Data Scientist or Product Management or any adjacent role!
• And because no job description is complete without them, here is a list of technologies we use! Note that we are more interested in experience with concepts and comfort in translating to new technologies than finding someone with a complete match:
• Snowflake
• Prefect
• Python
• DBT
• Postgres
• Kubernetes
• AWS (always preferring managed solutions eg. RDS, MSK, EKS, etc)
• Looker
• Stitch
• Hightouch
• Segment