Remote Metadata Jobs in Silver Spring, MD (NOW HIRING)

We are currently seeking a Technical Data Steward.  This is a long term, remote contracting position for candidates who live in the United States.  We are able to work with W2 and established 1099 contractors (no c2c).

We are looking for candidates with 5–10 years of experience in Data Governance, Data Stewardship, or Data Management, with hands-on experience supporting HR data environments, strong knowledge of Oracle HCM or PeopleSoft, experience with Azure data platforms, and expertise in metadata management, data quality, lineage, security controls, and enterprise data governance frameworks. Must be comfortable partnering with both technical and business stakeholders to ensure trusted, secure, and well-governed HR data across the organization.

The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security, metadata management, and technical oversight of HR data within an Azure-based data warehouse environment. This role acts as the technical authority for HR data assets, ensuring that data is properly defined, cataloged, secured, governed, and available for reporting, analytics, AI initiatives, and business decision-making.  The position serves as a bridge between HR business teams, Data Governance, Data Engineering, Information Security, and Analytics teams. The Technical Data Steward is responsible for managing metadata, data lineage, data quality, data lifecycle processes, and access controls while supporting enterprise governance standards and HR reporting requirements.  This role is a blend of Data Governance, Data Stewardship, Data Quality Management, Metadata & Lineage Management, Azure Data Warehousing, HR Data Analytics and Security & Compliance.

The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders.

Candidates will provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives.

Responsibilities

1.  Data Governance & Standards

·       Implement and enforce enterprise data governance policies, standards, and procedures

·       Ensure execution of governance workstreams, including:

1. • • Metadata management
     • Enterprise quality controls
     • AI ready metadata
     • Data quality
     • Data lifecycle management
     • Policies and standards compliance

·       Monitor adherence to technical data standards and drive compliance across the business area

2.  Data Management & Technical Oversight

·       Own technical data decisions on behalf of the Business Data Owner

·       Provide subject matter expertise on:

1. • • Source systems
     • Data stores and warehouses
     • ETL processes and pipelines
     • Business intelligence tools

·       Ensure proper implementation of data across systems and platforms

3.  Metadata, Lineage & Cataloging

·       Build and maintain a data catalog, including metadata and business glossary

·       Ensure data definitions, rules, and standards are clearly documented and consistently applied

·       Capture and maintain data lineage (end-to-end technical flows)

4.  Data Quality & Issue Resolution

·       Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams

·       Assist in design and implementation data quality audits, controls, and monitoring tools

·       Plan and lead data cleansing and remediation initiatives

5.  Security & Risk Management

·       Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as:

1. • • Role-based access (RBAC)
     • Persona based access
     • Row level access
     • Encryption and data protection standards

·       Ensure data confidentiality, integrity, and availability across platforms

6.  Stakeholder Collaboration

·       Partner with:

1. • • Business Data Stewards
     • Data Owners
     • Data Engineering / IT teams

·       Translate business requirements into technical data solutions

·       Communicate impacts of data decisions across stakeholder groups

Qualifications and Skill Requirements

·       Ability to work seamlessly and professionally across multiple business units and with all levels of the organization

·       Oracle HCM/PeopleSoft data experience

·       Cloud data platforms (Azure Data Lake, Power BI)

·       Data warehousing concepts (Azure)
Data integration / ETL processes (SQL Server, DataBricks, Azure)

·       Data quality and data lifecycle management

·       Enterprise platforms (e.g., data catalogs, BI tools, integration tools)

·       Data governance frameworks and best practices

·       Metadata management, lineage, and cataloging

·       Master data management (MDM)

·       Experience implementing data governance capabilities across an organization

Desired Skills

·       Strong analytical and problem-solving skills

·       Ability to translate complex technical concepts for non-technical stakeholders

·       Attention to detail and commitment to data accuracy

·       Effective cross-functional communication and collaboration

·       Oracle HCM / PeopleSoft data experience

·       Cloud data platforms (Azure Data Lake, Power BI)

·       Regulatory and HR reporting alignment