Microsoft Fabric / Azure Data Lead - Bollinger Shipyards

This is a remote position.
Client: Bollinger Shipyards
Position Summary
We are seeking a Cloud Developer/Data Engineer to lead the design and implementation of a modern Microsoft Fabric data platform for a large-scale enterprise environment. This role will own the target Fabric architecture, guide the migration from Azure Synapse to Microsoft Fabric, and establish secure, scalable data ingestion and protection patterns
The ideal candidate will bring strong hands-on Microsoft Fabric and Azure data engineering experience, along with the ability to lead architecture decisions, mentor engineers, work directly with client stakeholders, and navigate security and compliance requirements in a government or defense-related environment
Primary Location:
Across USA
Work Model:
Fully Remote
Employment Type:
Contract Duration: 2.5-3 Months + 6-Month Extension Potential
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 approaches such as 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 technologies such as SQL Server mirroring and Oracle Change Data Capture

Define data sensitivity classification and tagging approaches at the schema, table, and column levels to protect sensitive data

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

Qualifications, Skills & Experience

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

Experience working with government or defense-industrial clients

Experience with CMMC, DFARS, FedRAMP, or comparable compliance frameworks

Experience working directly with Microsoft product teams on cloud platform capabilities and feature availability

Experience developing architecture roadmaps for evolving data platforms

Experience with enterprise cloud cost forecasting and capacity optimization

Experience with Azure OpenAI and other Azure AI services

Originally posted on Himalayas