Azure Data Lead
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Job Description
Microsoft Fabric/Azure Data Lead modernizing Bollinger Shipyards’ enterprise data platform. Leading Synapse migration, secure ingestion, architecture, and data engineering delivery.
Responsibilities:
- Own the end-to-end design of the client's target Microsoft Fabric architecture, including workspace organization, capacity strategy and sizing, and cost forecasting
- Lead the technical strategy for migrating the existing Azure Synapse platform to Microsoft Fabric, including migration approach, data movement patterns, and sequencing
- Evaluate and recommend OneLake shortcuts versus one-time data copy while minimizing disruption to active initiatives
- Design secure Microsoft Fabric networking, including private endpoints and virtual network integration, in partnership with infrastructure and security teams
- Architect near-real-time data ingestion from Oracle ERP and multiple on-premises and Azure SQL Server databases
- Design and implement ingestion patterns using SQL Server mirroring and Oracle Change Data Capture
- Define data sensitivity classification and tagging approaches at schema, table, and column levels
- Build the roadmap from an ingestion-and-protection-first foundation toward a full Medallion architecture and downstream dimensional modeling
- Serve as the primary technical point of contact for Microsoft Fabric capability and architecture questions
- Work directly with Microsoft's product team to validate Microsoft Fabric capabilities, availability, and constraints within GCC High environments
- Translate technical findings into client-facing documentation, architecture recommendations, and change-request inputs
- Provide day-to-day technical direction and mentorship to Data Engineers on the account
- Review technical designs and code, resolve complex technical challenges, and help unblock engineering teams
- Partner with account and delivery leadership to shape scope, staffing, and the technical roadmap as the engagement evolves
Requirements:
- U.S. Citizen residing in the United States
- 7+ years of professional data engineering experience
- 3+ years in a Lead, Architect, or equivalent senior technical ownership capacity
- Hands-on Microsoft Fabric implementation experience, including OneLake, Lakehouse, Data Factory pipelines, and workspace/capacity administration
- Production or pilot experience implementing Microsoft Fabric in an enterprise environment
- Strong understanding of the Azure Data & AI ecosystem, including Azure Synapse Analytics, Azure Data Factory, Azure SQL/SQL Server, Azure Data Lake Storage, and Azure OpenAI or Azure AI services
- Experience leading a data platform migration, such as Synapse to Fabric or a comparable data platform modernization
- Experience designing secure Azure networking for data platforms, including private endpoints and VNet integration
- Strong SQL and Python/PySpark skills with experience delivering production-grade data pipelines
- Experience with Change Data Capture (CDC), database mirroring, or replication for near-real-time data ingestion
- Experience working with SQL Server, Oracle, or similar enterprise databases
- Working knowledge of Medallion architecture and dimensional modeling, including facts, dimensions, and star schemas
- Experience delivering solutions in regulated or compliance-sensitive environments such as CMMC, DFARS, FedRAMP, or similar
- Strong client-facing communication skills with the ability to lead technical workshops and explain architecture decisions to non-technical stakeholders
- Experience mentoring engineers and providing technical direction across a data engineering team
- Nice to have: Direct experience with Microsoft Fabric in GCC High environments
- Nice to have: Experience working with government or defense-industrial clients
- Nice to have: Experience with CMMC, DFARS, FedRAMP, or comparable compliance frameworks
- Nice to have: Experience working directly with Microsoft product teams on cloud platform capabilities and feature availability
- Nice to have: Experience developing architecture roadmaps for evolving data platforms
- Nice to have: Experience with enterprise cloud cost forecasting and capacity optimization
- Nice to have: Experience with Azure OpenAI and other Azure AI services
Benefits:
- 6-month extension potential
- Fully remote work arrangement
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