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Enterprise Solution Architect (Day 1 onsite)

Yantran LLC

Arlington · On-site Full-time Senior Today

About the role

Experience

  • 10 15+ years in enterprise architecture / data platform architecture
  • Deep experience in Microsoft Fabric + Power BI ecosystem and modern data platform principles
  • Proven delivery leadership for large programs (multi-domain, 1000+ user scale)
  • Strong background in:
    • Security architecture, compliance/audit, governance design
    • Metadata/lineage/catalog design and stewardship models
    • Migration modernization programs (DW/ETL/BI transformations)
  • Executive communication and stakeholder management experience

Key Responsibilities (Must-Have)

Enterprise Architecture

Strategy (Target State + Roadmap)

  • Define the target state architecture for Microsoft Fabric including:
    • Workspaces/domains strategy aligned to enterprise operating model (centralized CoE, federated domains, or hybrid)
    • OneLake architecture and multi-zone data layout (landing/curated/serving)
    • Standard architecture patterns for Lakehouse, Warehouse, Real-time, and Semantic models
  • Develop the platform adoption roadmap:
    • Phased onboarding strategy for 100s of teams and 1,000s of users
    • Capability roadmap (governance maturity, automation maturity, migration waves)
    • Reference implementation(s) and scaling patterns
  • Own architecture decisioning:
    • Document Architecture Decision Records (ADRs)
    • Ensure consistency of patterns across domains and teams

Security, Compliance, and Risk Architecture (Zero Trust Enterprise Controls)

  • Design enterprise-grade security controls for Fabric:
    • Tenant, capacity, workspace governance boundaries
    • Entra ID group-driven RBAC strategy and least privilege access design
    • Separation of duties across Admin/Platform/Engineering/Business personas
  • Define compliance and auditing requirements:
    • Data classification and sensitivity labeling approach
    • Data access auditing, lineage for compliance, and evidence generation model
    • Retention and lifecycle controls aligned to enterprise policy (where applicable)

Enterprise Governance Architecture

  • Architect the enterprise governance ecosystem:
    • Define Purview's role (scanning, classification, lineage, policy enforcement where applicable)
    • Define Atlan'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

Good-to-Have

  • Data Mesh / Data Product operating model experience
  • Experience integrating external governance tools (Atlan, Collibra, etc.)
  • Cost management and chargeback frameworks
  • ITIL/ITSM operations integration (ServiceNow/Remedy, etc.)

Benefits

  • medical insurance
  • vision insurance
  • dental insurance
  • life insurance
  • disability insurance
  • paid time off
  • holidays
  • parental leave
  • sick leave

Skills

AtlanAzureAzure Data FactoryAzure SynapseBICollibraData CatalogData GovernanceData MeshData QualityData WarehousingETLMicrosoft FabricMicrosoft PurviewPower BISQL ServerZero Trust

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