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Job Description
A Little About Us
EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com
- Candidate Note: This position is 100% remote for candidates based in India**
As a leader within EDB, you will manage and grow a high-performing data engineering team responsible for implementing scalable pipelines for structured and unstructured data, establishing enterprise-wide governance practices, and enabling trusted insights across the organization. You will be the primary driver of our metadata, data dictionary, lineage, and stewardship frameworks, leveraging modern governance and MDM tools.
At the core of this ecosystem lies EDB Postgres and our evolving lakehouse architecture, serving as the foundation for high-quality, governed, and innovation-ready data.
Your Impact Will Be
Data Governance Leadership
- Design, implement, and enforce data governance frameworks, policies, and procedures that ensure security, compliance, and high data quality.
- Lead efforts in metadata management, business glossaries, data dictionaries, and traceability across systems and workloads.
- Drive stewardship practices to establish data ownership, classification, and accountability.
- Collaborate in the development of scalable, reliable pipelines for transactional, analytical, and AI workloads, covering both structured and unstructured data.
- Ensure pipelines are governance-aware, embedding validation, quality checks, and lineage capture as part of the process.
- Partner with analytics, product, and AI teams to build pipelines that power BI dashboards, predictive modeling, and machine learning at scale.
- Champion adoption of modern data governance and MDM platforms (e.g., DataHub) and integrate them with Postgres and lakehouse infrastructure.
- Evaluate and implement technologies for cataloging, lineage, and observability to ensure transparency and trust.
- Define and enforce standards for documentation, traceability, and reproducibility across the data ecosystem.
- Build and lead a world-class data engineering team focused on governance-aware data engineering.
- Provide technical guidance, mentorship, and career development opportunities for engineers.
- Foster a culture of accountability, innovation, and excellence in data practices.
- Partner with Compliance, Information Security, and business leaders to align governance with regulatory and strategic needs.
- Translate governance frameworks into engineering solutions that empower business outcomes, not just controls.
- Communicate effectively with executive stakeholders to report on data quality, compliance, and progress against KPIs.
- 10+ years of experience in data engineering, data governance, or related roles, with at least 3–5 years in a leadership/managerial capacity.
- Proven expertise in building and maintaining ETL/ELT pipelines across structured, unstructured, and semi-structured data including orchestration and automation with tools such as Airflow and data modeling with frameworks like dbt.
- Strong familiarity with data governance and MDM tools such as DataHub, Collibra, or Informatica.
- Hands-on experience with PostgreSQL and/or modern data lakehouse platforms (e.g., Databricks, Snowflake, or similar).
- Strong understanding of data governance principles, lineage, metadata, and data privacy regulations (e.g., GDPR, CCPA).
- Track record of hiring, developing, and leading engineering teams with a focus on delivering measurable outcomes.
- Excellent stakeholder management and communication skills across technical and business domains.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
- Experience supporting AI/ML model pipelines and governance for AI-driven workloads.
- Knowledge of data quality frameworks and tooling for continuous monitoring and improvement.
- Demonstrated ability to balance governance rigor with business agility, enabling trusted and efficient outcomes.
We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply!
EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity.
EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee.
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