Enterprise Architect Data Modernization & Governance *** Direct End Client *** Remote EST TZ ***
Enterprise Architect Data Modernization & Governance Duration: 16-Month Initial Term (with potential for multi-year extensions) Location: Remote / Hybrid Job Summary We are seeking a seasoned Enterprise Architect (EA) to lead the design and technical strategy for a large-scale health data infrastructure modernization project. The successful candidate will be responsible for leading the design of data ingestion frameworks, entity resolution (MDM), and automated data governance within a complex cloud environment. This role is critical in transitioning legacy workflows into a modern AWS-based Data Lake using a medallion architecture and ensuring all technical work is seamlessly integrated into an Agile/DevOps delivery model. Key Responsibilities • Architectural Leadership: Lead the design and implementation of modern data ingestion pipelines (batch, streaming, API) and entity resolution frameworks using tools like Profisee and Purview. • Governance & Compliance: Establish an enterprise governance architecture, including metadata-driven standards, data quality enforcement, and lineage propagation rules. • Agile Integration: Embed architectural checkpoints and decision-making frameworks (ADRs) directly into Azure DevOps (ADO) workflows to ensure end-to-end traceability from backlog to release. • Technical Roadmap: Develop and maintain technical roadmaps and unified reference blueprints that align architectural milestones with broader strategic objectives. • Legacy Migration: Assess legacy system inventories and design transition-state architectures to facilitate the phased retirement of deprecated workflows without disrupting operations. • Stakeholder Alignment: Produce high-level architecture narratives (e.g., "Day in the Life of Data") to communicate complex technical designs to executive leadership and cross-functional teams. Required Skills & Qualifications • Architecture Frameworks: Proven experience working within established frameworks such as TOGAF or FEAF. • Cloud Ecosystems: Deep expertise in AWS (Data Lake/Medallion Architecture) and the Microsoft Azure Stack (Azure Databricks, Azure DevOps, Purview, and Power BI). • Data Expertise: Strong background in Information/Data Architecture, specifically in Master Data Management (MDM), entity resolution, and automated data quality/governance. • Process Automation: Experience designing automated workflows using Power Automate and low-code/no-code platforms for governance gating and approvals. • Agile Proficiency: Advanced knowledge of Azure DevOps (ADO) for managing work taxonomy, repos, and CI/CD pipelines. • Communication: Exceptional oral and written communication skills, with the ability to lead design sessions and author comprehensive runbooks. Preferred Experience • Previous experience architecting health data infrastructure or large-scale public sector data platforms. • Experience in Legacy System Retirement and decommissioning strategies within a highly regulated environment. • Relevant industry certifications in Enterprise Architecture or Cloud Platforms (AWS/Azure). Enterprise Architect, Data Architect, MDM, Entity Resolution, Data Ingestion, AWS Data Lake, Medallion Architecture, Azure DevOps, Azure Purview, Profisee, Data Governance, TOGAF, FEAF, Health Data Modernization, DataOps, Power BI, Semantic Modeling, Legacy Migration, ADR, Azure Databricks