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Data Governance Analyst

Data Capital IncReston, VA🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

Advance your career in data governance with Data Capital Inc. by playing a key role in shaping their Enterprise Data Governance Program, gaining valuable experience with AWS and Snowflake. If you're a seasoned professional with a strong background in data management and a passion for ensuring data quality and integrity, this hybrid role offers an excellent opportunity to make a significant impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Reston, VA, United States
Posted
18 hours ago
SQLAWSSnowflakeBusiness AnalysisPower BIPythonReconciliation

Job Description

Position Overview

The Office of Data Governance is seeking an experienced Data Governance Analyst to support the implementation and ongoing maturity of the agency's Enterprise Data Governance Program.

The Data Governance Analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineering teams, Project Teams, and Information Security stakeholders to establish trusted, governed, and high-quality enterprise data assets that support both operational and analytical use cases.

This role will focus on governance activities for enterprise data ingested into the AWS Data Platform and consumed through Snowflake. The successful candidate will help establish and operationalize data governance processes, metadata standards, business rules, Critical Data Elements (CDEs), data quality standards, data lineage, and data stewardship practices across the enterprise data ecosystem.

Required Qualifications and Experience

  • Minimum of 10 years of professional experience in one or more of the following areas:
  • Data Governance
  • Data Management
  • Data Quality
  • Business Analysis
  • Metadata Management
  • Data Architecture
  • Data Stewardship
  • Related data management disciplines
  • Demonstrated experience implementing or supporting enterprise Data Governance programs.
  • Experience facilitating governance workshops and working sessions with business and technical stakeholders.
  • Strong SQL skills with experience performing data analysis, profiling, validation, and reconciliation.
  • Experience documenting and maintaining:
  • Business metadata
  • Technical metadata
  • Business glossaries
  • Data dictionaries
  • Experience defining and documenting:
  • Business rules
  • Critical Data Elements (CDEs)
  • Data quality standards
  • Data validation rules
  • Experience performing data profiling, data reconciliation, and data validation.
  • Strong analytical, problem-solving, and organizational skills.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively with both business and technical stakeholders.

 

Preferred Qualifications and Technical Experience

Experience with several of the following technologies and platforms is preferred:

  • Amazon Web Services (AWS)
  • Amazon S3
  • AWS Glue
  • AWS Glue Data Catalog
  • AWS Lake Formation
  • Snowflake
  • Python
  • SQL
  • Power BI
  • SharePoint

Experience with cloud-based data platforms, data lakes, data warehouses, and enterprise analytics environments is highly desirable.

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