The Data Governance DataHub Engineer is responsible for deploying, managing, and extending the enterprise metadata management and data governance platform built on LinkedIn's open-source DataHub. This role ensures the discoverability, lineage, ownership, and compliance of all data assets across the lakehouse ecosystem.
KEY RESPONSIBILITIES
▸ Architect, deploy, and operate the DataHub metadata platform in cloud and on-premises environments
▸ Integrate DataHub with lakehouse sources including Databricks, Snowflake, Kafka, Airflow, and BI tools
▸ Configure and maintain automated metadata ingestion pipelines (DataHub Managed Ingestion)
▸ Build and maintain data lineage graphs across the full data stack (source to dashboard)
▸ Implement data classification, tagging, and business glossary within DataHub
▸ Enable and enforce data ownership assignment and stewardship workflows
▸ Collaborate with data governance team to translate policies into platform controls
▸ Develop custom DataHub plugins and APIs to extend platform capabilities
▸ Monitor DataHub platform health, storage, and ingestion job performance
▸ Train data stewards, owners, and consumers on DataHub usage and governance standards
REQUIRED QUALIFICATIONS
▸ 5+ years in data engineering or platform engineering roles
▸ 2+ years of hands-on experience with DataHub deployment and configuration
▸ Strong proficiency in Python for writing custom DataHub recipes and plugins
▸ Experience with Docker, Kubernetes, and Helm chart management
▸ Familiarity with metadata standards: OpenLineage, OpenAPI, Apache Atlas metadata models
▸ Understanding of data governance concepts: data lineage, classification, stewardship, and RBAC
▸ Experience integrating with REST APIs and event-driven architectures (Kafka)
▸ Bachelor's degree in Computer Science or related technical field
PREFERRED QUALIFICATIONS
▸ Experience with Atlan, Alation, or Collibra as complementary or alternative catalog tools
▸ Familiarity with GDPR/CCPA data inventory and lineage reporting requirements
▸ Knowledge of great expectations or Monte Carlo for data observability
At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.
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Skills Required
- 5+ years of experience in data engineering or platform engineering roles
- 2+ years of hands-on experience with DataHub deployment and configuration
- Strong proficiency in Python for writing custom DataHub recipes and plugins
- Experience with Docker, Kubernetes, and Helm chart management
- Familiarity with OpenLineage, OpenAPI, and Apache Atlas metadata models
- Understanding of data governance concepts, including data lineage, classification, stewardship, and RBAC
- Experience integrating REST APIs and event-driven architectures using Kafka
- Bachelor's degree in Computer Science or a related technical field
- Experience with Atlan, Alation, or Collibra
- Familiarity with GDPR/CCPA data inventory and lineage reporting requirements
- Knowledge of Great Expectations or Monte Carlo for data observability
Dynata Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dynata and has not been reviewed or approved by Dynata.
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Leave & Time Off Breadth — Time off options such as paid holidays, sick time, PTO, and in some cases unlimited PTO are available, with PTO sometimes described as generous. Volunteer time and a “birthday day off” expand the time‑off menu beyond basics.
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Flexible Benefits — Flexible and remote work options are broadly offered across a global and hybrid footprint, including part‑time and work‑from‑home arrangements. This flexibility can make certain entry‑level or side‑income roles feel reasonable for the work involved.
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Wellbeing & Lifestyle Benefits — Perks such as commuter benefits, wellness resources, snacks, gym or cell‑phone reimbursements, and tuition reimbursement are part of the package. Employee resource groups and volunteer opportunities add lifestyle and community support.
Dynata Insights
What We Do
Dynata is the world’s largest first-party data platform for insights, activation and measurement. With a reach that encompasses over 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. The Dynata data platform, an all-in-one solution for insights, activation and measurement, leverages our robust data, innovative technology and more than 40 years’ experience as a pioneer in consumer and B2B insights. Our vision for the Dynata data platform is to automate the entire marketing continuum, with capabilities to target audiences; uncover insights; connect data; activate, measure and optimize campaigns; and analyze, visualize, publish and share those insights to drive your business growth. We’ve helped more than 6,000 market research firms, brands, media and advertising agencies, publishers, and consulting and investment firms around the world and in every industry accelerate transformation, enable better decision-making, and deliver revenue growth.
