Data Steward Jobs
Data Steward jobs are open across healthcare, financial services, government, and technology, from entry-level to senior and lead roles, with specializations in data governance, metadata management, and data quality assurance. Find a role that fits below and apply directly.
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The ideal candidate is a collaborative, detail-oriented data professional who can balance mission needs with sound data governance and security practices. You bring strong analytical judgment, communicate clearly with both technical and mission stakeholders, and take ownership of solving complex data challenges in a dynamic, classified environment.
*** This job requisition is for potential upcoming work at AMERICAN SYSTEMS and does not represent a current opening. Qualified candidates will be contacted when the work/funding becomes available. ***
- Analyze mission data sources and requests, including format, volume, sensitivity, classification, ownership, authoritative source, consumers, and operational dependencies.
- Develop and maintain data-source profiles, including schemas, data dictionaries, metadata, lineage, quality rules, access tags, catalog entries, and acceptance criteria.
- Support data governance and data-management activities that improve data discoverability, reuse, controlled sharing, interoperability, and mission usability.
- Support the design, analysis, and implementation of data-management solutions, including data modeling, relational database analysis, metadata repositories, data mapping, and transformational analysis.
- Partner with Government stakeholders, data owners, software teams, platform teams, security personnel, compliance stakeholders, and operations teams to validate data use and handling requirements.
- Document classification, releasability, retention, audit, masking, and access-control requirements for mission data.
- Support attribute-based access control (ABAC) implementation through attribute mapping, metadata tagging, controlled sharing, and secure data-product publication.
- Develop and maintain technical documentation, including data architectures, interface control documents, source-to-target mappings, access-control plans, test plans, validation procedures, and runbooks.
- Perform data profiling, reconciliation, validation, anomaly identification, trend analysis, and data-quality assessments.
- Define and track data-quality metrics, including availability, completeness, timeliness, lineage accuracy, schema conformance, catalog readiness, and usability.
- Support integration and test activities by validating data movement, schema implementation, metadata tagging, access controls, quality rules, and audit requirements.
- Identify and recommend practical improvements related to data quality, standardization, discoverability, reuse, and operational performance.
- Prepare clear technical analyses, data profiles, test results, and stakeholder-ready deliverables.
- Active Top Secret security clearance with SCI and SAP eligibility.
- Bachelor’s degree in data science, information systems, computer science, analytics, statistics, engineering, or a related technical discipline.
- 5 to 7 years of related experience in data analysis, data stewardship, data governance, database analysis, data integration, database development, or a related technical field.
- Current DoD 8140 IAT Level II baseline certification, such as CompTIA Security+ CE, or another qualifying IAT Level II certification.
- Microsoft Power BI Data Analyst Associate, Tableau certification, or an equivalent data analytics certification.
- Experience documenting data sources, schemas, data dictionaries, metadata, lineage, data-quality rules, catalog entries, data tags, and acceptance criteria.
- Experience working with structured, semi-structured, and unstructured data.
- Experience with SQL, relational databases, data profiling, data-quality analysis, metadata management, source-to-target mapping, and dashboards.
- Working knowledge of data governance, lifecycle management, classification handling, access controls, releasability, retention, audit requirements, and secure data sharing.
- Familiarity with ABAC, attribute mapping, metadata tagging, controlled sharing, and data-masking concepts.
- Ability to work independently, develop sound approaches to assigned work, and deliver practical solutions to complex data challenges.
- Strong written and verbal communication skills.
- DAMA CDMP Associate certification, or an equivalent data management or data governance certification.
- Experience supporting enterprise data products or mission data integration workflows.
- Experience with SQL, data profiling, data quality analysis, data dictionaries, metadata management, source-to-target mapping, dashboards, and relational databases
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Find Data Steward JobsData Steward Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in data steward jobs.
- Experience with data governance platforms such as Collibra, Alation, or Informatica
- Proficiency in SQL for data profiling, validation, and quality assessment
- Knowledge of data governance frameworks including DAMA-DMBOK or DCAM
- Experience defining and enforcing metadata standards, data dictionaries, and business glossaries
- Familiarity with regulatory requirements such as GDPR, HIPAA, or SOX as they relate to data management
- Bachelor's degree in information management, computer science, business, or a related field
Tips for Your Data Steward Job Search
Tailor your resume to governance frameworks
Data steward postings often call out specific frameworks like DAMA-DMBOK or DCAM. Name the ones you've worked within and describe how you applied them to data cataloging, lineage tracking, or policy enforcement in past roles.
Highlight your data quality tooling experience
Employers screen for hands-on experience with tools like Collibra, Alation, Informatica, or Ataccama. For each tool you know, name a concrete outcome: a data quality issue you caught, a catalog you built, or a standard you enforced.
Apply early to roles that fit
Migrate Mate lists data steward openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by domain, not just title
Data steward roles in healthcare deal with HL7 and PHI compliance, while financial services postings focus on regulatory reporting and data lineage. Filter your search by industry to find openings where your domain knowledge gives you a real edge.
Prepare a data governance case study for interviews
Interviewers frequently ask you to walk through a data issue you resolved end to end. Prepare a structured example covering what the data problem was, how you identified root cause, what policy or process you put in place, and what measurably improved.
Negotiate your scope, not just your salary
When you receive an offer, clarify which data domains you own, whether you have authority to enforce standards or only advise, and how the role interacts with data engineering and analytics teams. Scope ambiguity is the most common source of frustration in this role.
Data Steward Jobs: Frequently Asked Questions
Which companies are hiring the most data stewards?
HDR, QTS, and Citco are hiring the most data stewards right now, with openings concentrated in New York, Virginia, and Maryland, based on current listings on Migrate Mate as of November 2026. Organizations in financial services, healthcare, and government agencies consistently post the highest volumes of data steward openings.
How many data steward jobs are remote?
About 100% of data steward openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed data governance talent. Roles focused on metadata management, data catalog maintenance, and policy documentation tend to be the most remote-friendly, while positions requiring close collaboration with business stakeholders or on-site data systems are more likely to be in-office.
How do you become a data steward?
Start by building proficiency in SQL and at least one data cataloging or governance platform like Collibra or Alation. Gain experience with data quality concepts through data analyst or database administrator roles. Learn a recognized governance framework such as DAMA-DMBOK. Pursue certifications like the Certified Data Management Professional credential to formalize your knowledge and signal readiness to employers.
How do you get hired as a data steward with little experience?
Start by targeting junior or associate data steward postings, which often accept candidates with one to two years in data analyst, database, or business analyst roles. Document any informal data governance work you've done, such as building a data dictionary, cleaning datasets, or defining naming conventions. Hands-on familiarity with a data catalog tool, even through a free trial or personal project, strengthens your application significantly.
What does the data steward interview process look like?
Most data steward interviews include a screening call focused on your governance background, followed by a technical round covering SQL, data quality concepts, and your experience with specific tools. A behavioral or case-based round typically asks you to walk through a real data problem you resolved. Final rounds often involve meeting cross-functional stakeholders from analytics, engineering, or compliance teams who assess how you'd collaborate across the organization.
Where can I find and apply to data steward jobs?
You can find and apply to data steward jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and apply directly to each listing.
See All 13 Data Steward Jobs
Find roles that match your experience and apply in just a few clicks.
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