Enterprise Data Lead

REV is seeking an experienced Enterprise Data Lead to provide program-level leadership over data strategy, architecture, standards, quality, governance, and cross-platform data decisions for a large-scale modernization initiative.

The Enterprise Data Lead will ensure data architecture and data-related decisions remain aligned with business objectives, modernization goals, enterprise standards, security requirements, and long-term sustainability.

Responsibilities

• Maintain enterprise data architecture, standards, patterns, and reference models.
• Lead enterprise data design reviews.
• Establish data architectural principles and standards.
• Provide strategic direction across data domains, platforms, integrations, analytics, and operational systems.
• Ensure security, privacy, compliance, and risk principles are embedded into data designs.
• Guide data architecture, modeling, canonical data models, and cross-platform data flows.
• Evaluate modern data technologies, platforms, tooling, and architectural patterns.
• Identify data gaps, redundancies, risks, technical debt, and modernization opportunities.
• Drive alignment among vendors, technical teams, business stakeholders, and enterprise leadership.
• Support strategic data planning and long-term data model evolution.
• Establish and maintain data lifecycle-management strategies.
• Oversee data architecture documentation, lineage diagrams, data dictionaries, mapping artifacts, and reference models.
• Ensure vendor-produced data documentation meets enterprise standards.
• Support data governance, data quality, MDM, migration, integration, and analytics initiatives.
• Participate in Agile ceremonies, sprint reviews, architecture reviews, and design discussions.
• Support RAID management and data-related risk mitigation.
• Provide executive-level technical guidance and recommendations.
• Mentor and guide data architects, engineers, analysts, and technical teams., Engagement Requirements This is a part-time, approximately 20-hour-per-week 1099 Independent Contractor engagement.

The engagement is primarily remote; however, the consultant must be willing and able to report onsite in Washington State when required by the client/program.

C2C submissions will not be accepted. This opportunity is for individual independent contractors only.

• Bachelor’s degree is required.
• Bachelor’s degree must include at least 12 semester hours or 18 quarter hours of computer science coursework.
• Candidate must be able to provide documentation verifying the degree and specific computer science coursework completed if requested.
• 7+ years of professional IT experience involving IT analysis, data analysis, system design, data management, system maintenance, or enterprise data environments.
• 5+ years of hands-on data leadership involving enterprise data architecture, strategy, governance, migration, or data management.
• Strong experience with enterprise data architecture and data management.
• Experience with enterprise data models, data flows, governance, metadata, and lineage.
• Experience with data integration, data quality, migration, and conversion patterns.
• Experience with MDM, survivorship rules, harmonization, and authoritative sources of truth.
• Strong experience with SQL, NoSQL, and cloud data technologies.
• Experience with APIs, ETL/ELT, messaging, event-driven pipelines, and service-oriented architectures.
• Hands-on experience with Azure, AWS, and/or GCP.
• Experience with cloud data storage, processing, serverless functions, and data security controls.
• Familiarity with Docker and Kubernetes.
• Experience with Java, C#, Python, NodeJS, and/or comparable technologies.
• Strong understanding of Zero Trust, encryption, authentication, authorization, privacy, and data security.
• Deep understanding of the data lifecycle.
• Strong strategic thinking, analytical ability, and executive communication skills.
• Must be comfortable working as an individual 1099 Independent Contractor.
• Must be willing and able to work onsite in Washington State as required.
• Must be able to complete required background screening, security training, confidentiality requirements, and system-access requirements.

Preferred Certifications One or two relevant current certifications are preferred and may be considered when determining compensation within the posted range:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Engineer Associate
• Snowflake certification
• Google Cloud Professional Data Engineer
• Other current enterprise data or cloud architecture certifications may be considered.
• Preferred Experience
• Large-scale enterprise modernization.
• Enterprise-wide data strategy.
• Cloud migration.
• Enterprise data governance.
• MDM implementations.
• Public-sector or regulated environments.
• Mainframe or legacy system modernization.
• Enterprise metadata and data quality programs.
• Complex multi-vendor technology environments.

Location: Remote, U.S. Based; must be willing and able to work onsite in Washington State as required Schedule: Part-Time, approximately 20 hours/week Compensation: $95-$110/hour, depending on experience and relevant certifications