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Collibra Remote Jobs in Virginia (NOW HIRING)

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering ... Experience with Collibra, Informatica, Alation, or similar data catalog tools. * Experience with ...

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus. * Commitment to data governance. * Experience working in an Agile ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ...

AWS Data Engineer

Roanoke, VA · On-site +1

$112K - $134K/yr

Roanoke, VA (100% remote) Duration: 2-3 months with possible longer extension Description Carilion is Based in Roanoke, VA, and are an award-winning, community-based network of hospitals, primary and ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239091 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

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Collibra Remote information

What are the key skills and qualifications needed to thrive as a Collibra Remote Data Governance Specialist, and why are they important?

To thrive as a Collibra Remote Data Governance Specialist, you need a solid understanding of data governance principles, data management, and experience with Collibra’s data intelligence platform, often supported by a degree in information technology or a related field. Familiarity with Collibra tools, workflow automation, metadata management, and relevant certifications such as Collibra Ranger or Collibra Steward are typically required. Strong analytical thinking, communication, and problem-solving skills help professionals collaborate with stakeholders and translate business requirements into effective data governance solutions. These competencies are vital for ensuring accurate, compliant, and accessible data across an organization, supporting critical business decisions.

What is the difference between Collibra Remote vs Data Governance Analyst?

AspectCollibra RemoteData Governance Analyst
Required CredentialsCertifications in data governance, Collibra platform knowledgeCertifications in data management, data analysis, often Collibra knowledge
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, analytical and compliance-focused
Industry UsageUsed across industries for data governance and catalogingPrimarily in finance, healthcare, and tech sectors
Common Search IntentComparing remote data governance roles involving CollibraUnderstanding data governance roles with Collibra expertise

Collibra Remote roles focus on managing data governance platforms remotely, requiring Collibra platform knowledge and certifications. Data Governance Analysts also work with Collibra but may have broader data management responsibilities, often in specific industries. Both roles are remote-friendly and involve data compliance, but Collibra Remote positions emphasize platform-specific skills.

What is a Collibra Remote job?

A Collibra Remote job refers to a position where an employee works with Collibra, a leading data governance and data management platform, from a remote location rather than in a traditional office setting. These roles can include positions like data governance analyst, Collibra platform administrator, or developer, and typically involve tasks such as configuring Collibra solutions, managing metadata, and ensuring data quality and compliance. Working remotely allows professionals to collaborate with teams globally using digital tools while leveraging the capabilities of the Collibra platform.

What are some common challenges faced by professionals working in a remote Collibra role, and how can they be addressed?

Professionals in remote Collibra roles often face challenges such as maintaining effective communication with cross-functional teams, staying up-to-date with platform updates, and ensuring data governance initiatives remain aligned with organizational goals. Overcoming these challenges typically involves leveraging collaboration tools, setting clear expectations with stakeholders, and participating in regular virtual check-ins. Additionally, proactively seeking out training on new Collibra features and staying connected to the broader data governance community can help remote employees remain effective and engaged.
What are the most commonly searched types of Collibra jobs in Virginia? The most popular types of Collibra jobs in Virginia are:
What cities in Virginia are hiring for Collibra Remote jobs? Cities in Virginia with the most Collibra Remote job openings:
Data Architect

Data Architect

Anika Systems

Leesburg, VA • On-site, Remote

$64.50 - $83/hr

Full-time

Posted 27 days ago


Job description

Anika Systems is seeking a highly skilled Data Architect to lead the design and implementation of enterprise data architectures supporting federal clients. This role will be instrumental in shaping data strategy, enabling data-driven decision-making, and supporting the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations.
The ideal candidate brings deep expertise in enterprise data modeling, cloud-based data platforms, metadata management, and data governance, along with hands-on experience applying AI/ML, Knowledge Graphs, and semantic technologies to modern data ecosystems. This role requires a forward-thinking architect who embraces AI-driven development workflows and can integrate emerging techniques such as GraphRAG into enterprise data platforms.
This opportunity is 100% remote.
Key Responsibilities
Enterprise Data Architecture & Engineering
  • Design and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem technologies (e.g., Spark, Iceberg).
  • Architect modern AI-enabled data platforms, including support for machine learning, LLM integration, and retrieval-augmented generation (RAG) patterns.
  • Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs).
  • Architect modern data lakehouse and data warehouse solutions using Apache Iceberg and cloud-native services.
  • Define and enforce standards for data integration, data quality, and data lifecycle management.
  • Design and implement Knowledge Graph architectures, integrating structured and unstructured data sources.
AI, Knowledge Graphs & Semantic Architecture
  • Design and implement Knowledge Graphs and semantic data layers using ontologies, taxonomies, and linked data principles.
  • Apply GraphRAG architectures to enhance LLM-based applications with context-aware, explainable data retrieval.
  • Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics.
  • Integrate AI/ML and generative AI capabilities into enterprise data ecosystems, including vector databases and embedding pipelines.
  • Leverage AI-assisted development tools (e.g., code generation, data pipeline automation, metadata enrichment) to improve delivery speed and quality.
  • Ensure alignment between data architecture and AI governance, including model transparency, traceability, and responsible AI practices.
Metadata, Data Catalog, and Data Management
  • Establish and manage enterprise metadata frameworks, including data dictionaries, business glossaries, and technical metadata repositories.
  • Support implementation or optimization of Enterprise Data Resource Management Systems (EDRMS) and data catalog tools (e.g., Collibra, ServiceNow, or similar platforms).
  • Ensure referential integrity and traceability between data assets, metadata, ontologies, and enterprise data initiatives.
  • Design systems that enable data lineage, observability, and quality monitoring, including AI-generated metadata and lineage tracking.
Stakeholder Engagement & Data Governance
  • Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise.
  • Collaborate with stakeholders to identify data challenges, AI use cases, and opportunities for advanced analytics and automation.
  • Support the development and maintenance of data governance frameworks, policies, and standards, including AI and semantic governance.
  • Maintain and prioritize a data initiatives backlog, ensuring alignment with mission needs and stakeholder priorities.
Agile Delivery & Continuous Improvement
  • Work within Agile frameworks to iteratively deliver data architecture and AI-enabled solutions.
  • Support analysis of alternatives (AoA) for data and AI tools/platforms, providing recommendations based on cost, capability, and mission fit.
  • Track and report on data strategy progress, maturity improvements, and program outcomes.
  • Continuously refine data architecture based on stakeholder feedback, emerging AI capabilities, and evolving organizational needs.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or related field or comparable experience.
  • 8+ years of experience in data architecture, data engineering, or enterprise data management.
  • Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms.
  • Hands-on experience with:
    • AWS data services (e.g., S3, Glue, Redshift, Lake Formation)
    • Apache technologies (e.g., Spark, Iceberg, Hive)
    • Relational databases
  • Strong expertise in data modeling and ERD development.
  • Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models.
  • Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns).
  • Experience implementing metadata management, data cataloging, and data governance solutions.
  • Demonstrated experience supporting federal data strategy initiatives or OCDO organizations.
  • Strong understanding of data quality, lineage, observability, and AI data readiness frameworks.
  • Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools).
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with Evidence Act, Federal Data Strategy, and CDO Council guidance.
  • Experience with Collibra, Informatica, Alation, or similar data catalog tools.
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune) and vector databases.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • AWS certifications or data architecture certifications.
  • Experience implementing RAG or GraphRAG solutions in production environments.
  • Familiarity with semantic web standards (RDF, OWL, SPARQL).