Data Governance Architect@ Boston, MA

Role: Data Governance Architect Location: Boston, MA

Job Summary: The Data Governance Consultant is responsible for assessing, defining, and operationalizing enterprise data governance across multiple data domains. The role emphasizes governance frameworks, policies, operating models, and adoption-ensuring data is trusted, compliant, and consistently used across the organization. Key Responsibilities: Data Governance Architect

1. Current State (As Is) Assessment

   • Conduct a detailed as is assessment of the data landscape, covering: o Data storage platforms (on prem, cloud, lakehouse, warehouse) o Data ingestion and integration pipelines (batch, streaming, real time) o Data processing frameworks and analytical workloads o Data consumption patterns (BI, reporting, advanced analytics, AI/ML)
   • Evaluate the current architecture against industry best practices and reference architectures in areas such as: o Cloud native and lakehouse patterns o Data mesh / domain oriented architectures
   • Identify architectural gaps, technical debt, and design constraints.

2. Future State Architecture & Solution Design

   • Define future state data architecture blueprints aligned to: o Modern data platform best practices o Cloud native and scalable design principles o Analytics and AI enablement
   • Propose technology agnostic and vendor aligned solutions based on prior experience with modern data architectures.
   • Establish enterprise standards for: o Data ingestion, modeling, storage, and access o Data interoperability and integration o Architectural patterns and reusable components

3. Roadmap & Capability Planning

   • Drive the development of a long term data architecture roadmap, including: o Target capabilities and architectural milestones o Phased initiatives with sequencing and dependencies o Modernization priorities aligned to business outcomes
   • Partner with engineering teams to guide execution and ensure alignment to architectural intent.

4. Governance Alignment

   • Collaborate with data governance and security teams to ensure: o Architecture aligns with governance, privacy, and compliance requirements o Governance controls are embedded into data platforms by design

Expected Outcomes

• Clear current state vs future state architecture view
• Scalable and resilient data platform foundation
• Reduced architectural complexity and technical debt
• Architecture that supports analytics, AI, and future growth