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CertifyOS
Engineering Manager - Data Engineering
CertifyOS
Anywhere•Remote•10-13 Yrs•3 hours ago
Job description
Remote
Overview
About CertifyOS CertifyOS is building the data infrastructure that powers modern healthcare.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- 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.
- Strong understanding of data quality, monitoring, lineage, and governance practices.
- Strong communication skills with the ability to influence across engineering, product, analytics, and business teams.
- What Success Looks Like
Benefits
- At Certify, we’re 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 recharge. In 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 recruiting@certifyos.com.
- We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.