Enterprise Solutions Architect

• Define the target state architecture for Microsoft Fabric including:
• Workspace/domain strategy aligned to enterprise governance model (centralized CoE, federated domains, or hybrid)
• Workload architecture and domain boundaries (including curated, semantic models)
• Design platform adoption roadmap:
• Phased onboarding strategy for 1000+ teams and 10,000+ users
• Capacity modeling (governance, scaling, performance, migration waves)
• Adoption enablement (CoE, enablement, best practices)

Governance, Security & Compliance

• Own architecture direction for:
• Data governance
• Data access controls (RBAC)
• Security compliance frameworks (Zero Trust & Enterprise Controls)
• Define governance standards:
• Naming conventions, workspace structures
• Dataset certification
• Lifecycle management
• Set up governance RACI and operating model across domains

Data Platform Architecture

• Define enterprise data architecture covering:
• Data ingestion (batch & streaming)
• Data transformation (ETL/ELT patterns)
• Storage (Lakehouse, Warehouse, semantic layer)
• Data serving (BI, APIs, downstream consumption)
• Define Fabric roles (enterprise catalog UI, glossary, stewardship workflows, governance operating processes)

Data Governance & Metadata Management

• Define Alation's role (enterprise catalog UI, glossary, stewardship workflows, governance operating processes)
• Design and guide implementation of:
• Metadata synchronization strategy (system of record, mapping rules, identity resolution)
• Lineage strategy (Fabric lineage + enterprise lineage consolidation)
• Business glossary alignment and stewardship RACI across domains
• Define governance workflows:
• Data product certification/endorsement, publishing guardrails
• Controlled sharing models and approvals for sensitive data
• Data contract and documentation standards

Integration Architecture (Sources, Formats, and Consumption)

• Define patterns for ingestion and integration across source systems:
• Structured sources (SQL Server/Oracle/SaaS), unstructured files, APIs, events (where required)
• Batch and incremental (CDC) ingestion strategies
• Data quality and schema drift strategy
• Define serving and consumption architecture:
• Semantic model strategy (shared models, certified datasets, RLS/OLS patterns)
• Power BI workspace/app distribution model and content lifecycle
• Data sharing patterns across workspaces/domains (governed reuse, avoiding duplication)

Migration & Modernization Leadership

• Lead modernization and migration planning:
• Discovery and assessment of legacy platforms (DW/ETL/BI, on-prem to cloud)
• Workload classification and migration wave planning
• Target patterns: refactor vs rehost vs replatform
• Define migration accelerators/approach
• Metadata-driven ingestion, automated reconciliation, parallel run strategy
• Validation strategy: data parity, performance, security, and operational readiness

Operational Model, Observability & FinOps Strategy

• Define platform operations:
• SLO/SLA model for platform and critical data products
• Incident/change/release management and ITSM integration
• Define observability strategy:
• Capacity monitoring, workload health, lineage coverage, governance compliance metrics
• Own FinOps strategy:
• Cost allocation model
• Workload optimization and capacity planning approach

• 10-15+ years in enterprise architecture / data platform architecture
• Deep experience in Microsoft Fabric + Power BI ecosystems and modern data platform principles
• Strong delivery leadership for large programs (multi-domain, 1000+ user scale)
• Proven background in:
• Data architecture
• Data modeling
• Metadata lineage/catalog design and stewardship models
• Migration modernization programs (DW/ETL to transformation)
• Extensive communication and stakeholder management experience