Job description

We are seeking a Data Governance Specialist to help design, implement, and operationalize data governance practices across a modern, cloud-based data ecosystem. This role focuses on enabling effective data use through strong metadata management, data cataloging, stewardship workflows, and governance operating models that align people, processes, and technology. The Data Governance Specialist works closely with Data Engineering, Analytics, AI/ML teams, platform owners, and business stakeholders to ensure data assets are discoverable, trustworthy, well-documented, and governed without slowing delivery. • Implement and maintain enterprise data catalogs, metadata repositories, and business glossaries to improve data discoverability and understanding. • Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines. • Support the definition and rollout of governance processes including data ownership, stewardship, issue management, certification, and lifecycle management. • Facilitate alignment between technical teams and business stakeholders on data definitions, quality expectations, and usage standards. • Assist in establishing data domains, data products, and stewardship models aligned to modern architectures such as lakehouse , data mesh, or data fabric. • Coordinate data quality monitoring, issue triage, and remediation workflows in collaboration with engineering and analytics teams. • Support the implementation of data access controls, classification, tagging, and role-based policies in alignment with Zero Trust principles. • Contribute to governance documentation including standards, playbooks, operating procedures, and onboarding materials. • Participate in governance councils, working groups, and stakeholder forums to drive adoption and continuous improvement. • Help measure governance effectiveness using adoption metrics, data quality indicators, catalog usage, and maturity assessments. • Support compliance-related activities by ensuring metadata, lineage, and documentation are audit-ready and traceable. • Assist with tool configuration and integration for governance platforms such as Collibra, Alation, Atlan, Informatica, or cloud-native catalogs. • Stay current with emerging trends in data governance, metadata automation, and AI-ready data management practices. • You will contribute to the growth of our AI & Data Exploitation Practice! • Ability to hold a position of public trust with the U.S. government. • Bachelor’s degree in Information Systems , Data Management, Business Analytics, Computer Science, or a related field . • 2 – 5 years of experience in data governance, data management, analytics enablement, or data platform support roles. • Hands-on experience with data cataloging and governance tools (e.g., Collibra, Alation, Atlan, Informatica, AWS Glue Data Catalog, Azure Purview/Microsoft Purview). • Understanding of metadata types (business, technical, operational), data lineage, and schema management concepts. • Familiarity with modern data platforms ( lakehouse , cloud data warehouses, streaming platforms) and how governance integrates into pipelines. • Experience supporting data quality frameworks, issue management workflows, and stewardship operating models. • Strong communication and facilitation skills to work effectively with technical teams and business stakeholders. • Ability to translate governance concepts into practical workflows that support data delivery. • Familiarity with data privacy, security, and access control concepts in cloud environments. • Experience with SQL or basic data querying is a plus for understanding data structures and lineage. • Preferred certifications (helpful but not required ): • DAMA CDMP (Associate or Practitioner) • Collibra Ranger / Alation Steward certifications Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $95,000 to $125,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit steampunk.com . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. We can recommend jobs specifically for you! Click here to get started.

Requirements

Must-haves

Implement and maintain enterprise data catalogs, metadata repositories, and business glossaries to improve data discoverability and understanding.
Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines.
Support the definition and rollout of governance processes including data ownership, stewardship, issue management, certification, and lifecycle management.
Facilitate alignment between technical teams and business stakeholders on data definitions, quality expectations, and usage standards.
Assist in establishing data domains, data products, and stewardship models aligned to modern architectures such as lakehouse , data mesh, or data fabric.
Coordinate data quality monitoring, issue triage, and remediation workflows in collaboration with engineering and analytics teams.
Support the implementation of data access controls, classification, tagging, and role-based policies in alignment with Zero Trust principles.
Contribute to governance documentation including standards, playbooks, operating procedures, and onboarding materials.
Participate in governance councils, working groups, and stakeholder forums to drive adoption and continuous improvement.
Help measure governance effectiveness using adoption metrics, data quality indicators, catalog usage, and maturity assessments.
Support compliance-related activities by ensuring metadata, lineage, and documentation are audit-ready and traceable.
Assist with tool configuration and integration for governance platforms such as Collibra, Alation, Atlan, Informatica, or cloud-native catalogs.
Stay current with emerging trends in data governance, metadata automation, and AI-ready data management practices.
You will contribute to the growth of our AI & Data Exploitation Practice!
Ability to hold a position of public trust with the U.S. government.
Bachelor’s degree in Information Systems , Data Management, Business Analytics, Computer Science, or a related field .
2 – 5 years of experience in data governance, data management, analytics enablement, or data platform support roles.
Hands-on experience with data cataloging and governance tools (e.g., Collibra, Alation, Atlan, Informatica, AWS Glue Data Catalog, Azure Purview/Microsoft Purview).
Understanding of metadata types (business, technical, operational), data lineage, and schema management concepts.
Familiarity with modern data platforms ( lakehouse , cloud data warehouses, streaming platforms) and how governance integrates into pipelines.
Experience supporting data quality frameworks, issue management workflows, and stewardship operating models.
Strong communication and facilitation skills to work effectively with technical teams and business stakeholders.

Nice-to-haves

Experience with SQL or basic data querying is a plus for understanding data structures and lineage.
Preferred certifications (helpful but not required ): • DAMA CDMP (Associate or Practitioner)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawsazuresql

Platform: icims
Effort: medium