Engineering Manager Data Engineering

About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare.

Today healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work regulatory risk and higher costs across the system. Were solving that problem.

Our API-first platform automates provider licensing enrollment credentialing and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate compliant and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

Were backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS we value authenticity accountability collaboration results and openness to feedback. Were building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

About the Role:

We are looking for an Engineering Manager Data Engineering to lead and scale our data engineering team. This role will be responsible for building reliable scalable and high-quality data platforms pipelines and analytics infrastructure that power business intelligence product insights operational workflows and customer-facing data capabilities.

You will manage a team of data engineers partner closely with product analytics engineering security and business stakeholders and drive the technical roadmap for our data platform. Our data stack is built primarily on Google Cloud Platform so hands-on experience with the GCP ecosystem is important.

Key Responsibilities:

Team Leadership

• Lead mentor and grow a team of data engineers.

• Own hiring onboarding performance management career development and team planning.

• Establish strong engineering practices around code quality documentation reviews testing observability and incident response.

• Create a culture of ownership accountability collaboration and continuous improvement.

Data Platform & Architecture

• Define and drive the roadmap for scalable data infrastructure on GCP.

• Architect and oversee data pipelines data models data warehouses and lakehouse patterns.

• Ensure data systems are reliable secure cost-efficient and easy to maintain.

• Drive best practices around batch and streaming data processing orchestration monitoring lineage and data quality.

Delivery & Execution

• Partner with product analytics operations finance and engineering teams to understand data needs and deliver high-impact solutions.

• Translate business and product requirements into technical plans and execution roadmaps.

• Manage project execution sprint planning prioritization and delivery timelines.

• Balance short-term business needs with long-term platform investments.

Data Governance Quality & Reliability

• Own data quality standards SLAs observability and operational excellence for critical pipelines.

• Implement governance practices around data access privacy compliance lineage and retention.

• Ensure the team builds secure and compliant data systems especially for sensitive or regulated data.

Cross-Functional Collaboration

• Work closely with analytics product engineering infrastructure security and leadership teams.

• Communicate technical tradeoffs risks and roadmap decisions clearly to technical and non-technical stakeholders.

• Help define company-wide data standards tooling and operating models.

Required Qualifications:

• 10 years of experience in software engineering data engineering analytics engineering or platform engineering.

• 2 years of experience managing or leading engineering teams.

• Strong hands-on background in building scalable data platforms and pipelines.

• Experience with Google Cloud Platform especially tools such as:

  • BigQuery

  • Cloud Storage

  • Dataflow

  • Dataproc

  • Pub/Sub

  • Cloud Composer / Airflow

  • Cloud Functions or Cloud Run

• Strong experience with SQL and at least one programming language such as Python Java or Scala.

• Experience with data modeling ETL/ELT pipelines workflow orchestration and data warehouse design.

• Strong understanding of data quality monitoring lineage and governance practices.

• Experience operating production data systems with SLAs and incident management.

• Strong communication skills with the ability to influence across engineering product analytics and business teams.

Preferred Qualifications

• Experience with healthcare fintech SaaS or other regulated data environments.

• Experience with HIPAA SOC 2 GDPR or similar compliance frameworks.

• Experience with dbt Looker Fivetran Airbyte Terraform Kubernetes or Docker.

• Experience with real-time streaming architectures.

• Experience managing cloud cost optimization for data workloads.

• Experience building self-serve data platforms for analytics and business users.

• Experience with master data management data contracts or data mesh principles.

What Success Looks Like

In this role you will:

• Build and lead a high-performing data engineering team.

• Deliver reliable scalable and well-governed data pipelines and platforms.

• Improve data availability quality and trust across the organization.

• Enable analytics reporting product intelligence and operational workflows through robust data infrastructure.

• Create clear technical direction and execution discipline for the data engineering function.

Benefits of Working at Certify

At Certify were building with intention and taking care of the people doing the work.

Your well-being matters to us. We provide 100% coverage of health dental and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO with at least two weeks off each year to India employees are supported with health insurance statutory leave benefits and additional wellness (menstrual) leave for women.

We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work and we welcome applicants from all backgrounds and experiences.

If you require reasonable accommodations during the application process please contact

We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.

Required Experience:

Manager