Senior Manager, Data Engineering

About the Role

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. This role offers an opportunity to have a significant impact on the future of healthcare.

Responsibilities

• 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.

Requirements

• At least 7+ years of experience with a track record of building and scaling high-performing engineering teams and delivering high-quality software solutions.
• At least 3+ years of direct management experience with product-focused engineering teams.
• Experience with cross-functional collaboration, data-driven performance tracking, and direct customer or stakeholder engagement.
• Proven experience owning production data pipelines at scale, ideally with Apache Airflow (DAG design, scheduling, backfills, sensor/operator patterns).
• Deep hands-on experience with Snowflake or a comparable cloud data warehouse (Redshift, BigQuery), including performance tuning, cost management, and analytic layers.
• Strong SQL and at least one scripting language (Python preferred) for pipeline development.
• BS/BA degree in Computer Science or equivalent experience.

Qualifications

• Experience with modern data stack tooling (dbt, Fivetran/Airbyte, Kafka, or similar) is a plus.
• Experience with data governance, lineage, or data quality frameworks.
• Experience operating in a regulated or compliance-sensitive data environment.

Pay

The target pay range for this role is: $190,000-$215,000. This salary range represents our target hiring range for this role. The proposed salary will be dependent on the candidate's skills, experience, and competencies, as well as location.

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 14 paid, company-wide holidays.
• 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, immediate vesting, and financial wellness resources.
• Additional Benefits: Life and AD&D (company paid), Disability Coverage, Accident Insurance, Pet Insurance.

This position is remote, U.S. based. As part of this work at home job, we will provide you with all the necessary equipment to perform your duties, including a computer, mouse, keyboard, and other approved WFH supplies.