Senior Manager of Data Engineering

• The Senior Manager, Data Engineering will be an important contributor in pushing forward the implementation of the company vision into a releasable and valuable product
• You will help ensure that the team’s technical direction is properly aligned with the department and company’s architectural direction
• In order to accomplish these tasks, you will need to cultivate a dynamic, ever-learning team culture that seeks to create value for customers in a continuous manner
• This role offers an opportunity to have a significant impact on the future of healthcare
• Senior Manager, Data Engineering drives the simplification and optimization of concurrent project delivery, scheduling, and any processes that cross team boundaries
• Senior Manager, Data Engineering proactively identifies and mitigates risks before they become roadblocks
• They demonstrate good judgment in how and when to escalate without damaging relationships
• Lead, mentor, and grow a team of highly skilled data engineers, fostering technical excellence and career development
• Manage team performance from both a technical and personnel perspective, supporting each team member’s individual goals and growth
• Own on-call rotation structure and reduce operational toil through automation and self-service tooling
• Design and implement data architecture and infrastructure that aligns with business objectives, including the team’s work on a secure, interoperable platform leveraged across all Unite Us products
• Drive the design, performance, and cost-efficiency of the data lakehouse, data modeling standards, access controls, and query optimization
• Establish and enforce engineering best practices: code review standards, testing, CI/CD, monitoring, and incident response for data pipelines
• Champion strong documentation practices — runbooks, architecture decision records, and onboarding guides
• Own creation and execution of the team’s roadmap, defining priorities, sequencing initiatives, and aligning timelines with business goals
• Manage team capacity planning, sprint/project planning, and roadmap prioritization in collaboration with stakeholders
• Partner with Application Engineers, Product Managers, and other engineering teams to translate data needs and business requirements into scalable pipeline designs and platform extensions
• Collaborate with senior leadership to translate high-level initiatives into actionable team goals, advocate for necessary resources, and report on key performance indicators
• Disseminate clear goals, context, and vision across the team and with cross-functional partners
• Participate in hiring: define role requirements, conduct interviews, and build a strong bench of talent

Benefits

• Medical, Dental, and Vision: We offer insurance to team members and eligible partners and dependents, including unlimited virtual mental health and acute medical visits.
• Wellness: Mental health benefits, such as the Employee Assistance Program (EAP) and wellness platform subscription, are available to all team members.
• Flexible Time Off: Take what you need, including volunteer days and mental health days. We also offer 16 paid, company-wide holidays.
• Caregiver Resources: We provide help finding elder care as well as childhood daycare programs.
• Paid Parental Leave: Adoptive parents are included.
• Employee Resource Groups: Join our ERGs to connect and engage with colleagues, like Military Veterans
• Spending Accounts: We offer tax-advantaged health savings accounts (HSAs), flexible spending accounts (FSAs), and commuter benefits
• 401(k) + Employer Match: Enjoy matching and immediate vesting.
• Financial Planning: Receive access to a digital financial planning experience.
• Company-Sponsored Life and AD&D
• Short-Term Disability
• Accident Insurance
• Supplemental Life & AD&D
• Pet Insurance- Experience with modern data stack tooling (dbt, Fivetran/Airbyte, Kafka, or similar) is a plus
• Deep hands-on experience with Snowflake or a comparable cloud data warehouse (Redshift, BigQuery), including performance tuning, cost management, and analytic layers
• Experience with data governance, lineage, or data quality frameworks
• Experience with cross-functional collaboration, data-driven performance tracking, and direct customer or stakeholder engagement
• At least 7+ years of experience with a track record of building and scaling high-performing engineering teams and delivering high-quality software solutions
• Experience operating in a regulated or compliance-sensitive data environment
• At least 3+ years of direct management experience with product-focused engineering teams
• Proven experience owning production data pipelines at scale, ideally with Apache Airflow (DAG design, scheduling, backfills, sensor/operator patterns)
• Strong SQL and at least one scripting language (Python preferred) for pipeline development
• BS/BA degree in Computer Science or equivalent experience- All team members will be required to pass a background check which includes criminal, employment, and education verification