Sr. Data Enterprise Architect

Sr Enterprise Data Architect 

Active Top Secret or DHS Clearance.

Location: Washington, D.C. - Hybrid

Job Description:

Senior Database Engineer with 10 years of experience in data governance to design, implement, and manage enterprise-wide data governance frameworks.
 
The candidate must be able to establish and maintain robust metadata, data lineage, and master data management practices while ensuring alignment with organizational policies, standards, and regulatory requirements.
 
The position also demands hands-on experience integrating Collibra with modern data platforms, supporting business users in self-service data discovery, and leveraging automation and AI/ML capabilities to enhance data quality, streamline metadata ingestion, and optimize governance processes.
 
Data Governance & Collibra Integration

• Define and implement data governance frameworks using Collibra.

• Ensure data cataloging, data lineage, and data stewardship are maintained within Collibra.

• Work with business and IT teams to establish data policies, standards, and ownership.

Metadata & Master Data Management (MDM)

• Design and maintain enterprise metadata models and ensure metadata tagging aligns with Collibra.

• Oversee data classification, business glossaries, and data dictionaries within Collibra.

• Collaborate with teams to ensure consistent and accurate master data across systems.

Data Architecture & Strategy

• Define data models, standards, and principles for structured and unstructured data.

• Work on data integration strategies to align disparate data sources with governance frameworks.

• Ensure compliance with data privacy and security regulations like GDPR, CCPA, and federal standards.

Team Collaboration & Stakeholder Management

• Partner with CDO, Data Stewards, Engineers, and Analysts to ensure data usability and trustworthiness.

• Provide technical guidance on how Collibra integrates with data platforms (e.g., Snowflake, Databricks, AWS, etc.).

• Train and support business users on self-service data discovery using Collibra.

Automation & AI Integration

• Leverage AI/ML capabilities within Collibra for data quality monitoring and anomaly detection.

• Automate metadata ingestion, data lineage, and governance processes to improve efficiency.

QUALIFICATIONS

• Bachelor's Degree in Computer Science, Engineering, or a related field.

• 10 years of relevant experience.

• Strong knowledge of metadata management, data lineage, and master data management (MDM) practices.

• Hands-on expertise integrating Collibra (or similar, e.g., Informatica) with modern data platforms (e.g., Snowflake, Databricks, AWS).

• Solid understanding of data architecture principles, data modeling, and data integration strategies.

• Familiarity with data privacy and regulatory standards such as GDPR, CCPA, and federal compliance requirements.

• Ability to collaborate with cross-functional stakeholders and provide guidance on data governance best practices.

• Strong communication skills and ability to lead and mentor a development team.

Preferred:

• Hands-on experience with Collibra.

• Hands-on experience integrating Collibra with BI/analytics tools (e.g., Tableau, Power BI).

• Prior experience supporting large-scale enterprise data modernization initiatives. 

Clearance: 

• U.S. Citizen; Active DHS Clearance, DoD Top Secret Clearance, or Q-level Clearance.