Role: Data Governance Architect
Location: Boston, MJob 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 Architect1. 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 DesignDefine future state data architecture blueprints aligned to: o Modern data platform best practices o Cloud native and scalable design principles o nalytics 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 rchitectural patterns and reusable components4. 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.5. Governance Alignment • Collaborate with data governance and security teams to ensure:o rchitecture aligns with governance, privacy, and compliance requirementso 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 debtrchitecture that supports analytics, AI, and future growth
