[Hiring] Lead Data Engineer @Gifthealth Inc

Role Description

We are seeking a Lead Data Engineer to own one or more domains of the data platform, set their long-term technical direction, and manage a team of senior and mid-level data engineers. This position plays a key role in supporting the Data Engineering department and reports to the Manager, Data Engineering, ensuring alignment with organizational goals, operational excellence, and compliance standards.

Key Responsibilities

• Own one or more domains of the data platform on a continuing basis, including ingestion and orchestration.
• Set technical direction for assigned domains, including source onboarding and incremental modeling standards.
• Develop and maintain a 12 to 18 month roadmap for each assigned domain.
• Establish engineering standards and code review practices for assigned domains.
• Manage the domain backlog, set priorities, and allocate team capacity across stakeholder requests.
• Ensure the accuracy and timeliness of scheduled client data feeds to manufacturers.
• Track and report domain performance to Data, Analytics & AI leadership.
• Lead incident response for assigned domains, including escalation and post-incident reviews.
• Design and implement a data quality framework for assigned domains.
• Design and maintain data access controls that meet HIPAA and BAA requirements.
• Manage two to three senior and mid-level data engineers.
• Develop budget recommendations for domain tooling and infrastructure.
• Serve as the primary point of contact for assigned domains with various teams.
• Contribute to the entity-resolution layer that matches patient and provider identities.

Qualifications

• Education: Bachelor's degree (BA/BS) in Computer Science, Data Science, Information Systems, Software Engineering, Mathematics, Statistics, or a related field, or comparable work experience.
• Experience: 7 to 10 years of data engineering experience, including production ownership of a cloud data warehouse (Snowflake preferred) and at least one year of direct people management experience.
• Required Knowledge, Skills, and Abilities:
  • Production ownership of a cloud data warehouse; Snowflake experience preferred.
  • Expert-level SQL and proficiency in Python.
  • Experience with dbt at scale.
  • Production experience with an orchestration tool such as Airflow, Dagster, or Prefect.
  • Experience owning a platform area or major system over multiple years.
  • At least one year of direct people management experience.
  • Experience implementing automated data quality testing and alerting.
  • Ability to communicate data issues, business impact, and resolution timelines.
  • Working knowledge of healthcare data, PHI, and HIPAA requirements.
  • Demonstrated ability to lead a team and set technical direction.
  • Experience developing technical roadmaps and making build-versus-buy recommendations.
  • Strong leadership, communication, and decision-making skills.
• Preferred Knowledge, Skills, and Abilities:
  • Experience with healthcare, pharmacy, or other regulated data.
  • Experience with large-scale data platform migrations.
  • Experience with infrastructure as code, particularly Terraform.
  • Experience with identity resolution or master data management.
  • Experience building custom ingestion connectors.
  • Familiarity with Looker and LookML.

Work Environment

• Location: Columbus, OH or remote (US).
• Schedule: Full-time.
• On-call availability may be required to support scheduled client data feeds.
• Regular meetings with the Data Engineering team, direct reports, and Data, Analytics & AI leadership.

Employment Classification

• Status: Full-time
• FLSA: Exempt

Equal Employment Opportunity (EEO) Statement

Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you do not meet every requirement but still feel you would be a great fit for this role, we encourage you to apply!