Seeking a Lead Data Engineer with Microsoft Fabric expertise to provide strategic direction for enterprise data warehousing and infrastructure. This role involves architecting large-scale solutions, setting governance frameworks, and driving innovation in data systems. Requires a Bachelor's degree and 7 years of experience in data engineering and cloud-based data tools.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Lead Data Engineer- Microsoft Fabric
Job location: Fort Washington, PA (Hybrid -2 days onsite)
Job Type: Full time- Sponsorship provided
Microsoft Fabric. CI/CD, Azure, DevOps
A leading healthcare is seeking a Lead Data Engineer with Microsoft Fabric to join their team. The Lead Data Engineer provides strategic direction for enterprise‑wide data warehousing and infrastructure. They architect large‑scale solutions, set long‑term governance frameworks, and ensure data assets are leveraged for transformation and competitive advantage.
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Minimum Qualifications
Define enterprise-level data architecture and infrastructure strategy.
Lead design of advanced data warehouses, data lakes, and hybrid architectures.
Drive adoption of best practices in automation, DevOps, and CI/CD for data systems.
Evaluate and implement emerging technologies (AI/ML integration, advanced analytics).
Partner with executives and stakeholders to align data infrastructure with business strategy.
Serve as a subject matter expert and mentor across the organization.
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Guide cloud resource planning, cost optimization, and capacity management.
Troubleshoot higher-level cloud issues and coordinate with vendors or internal teams.
Collaborate with DevOps, Security, and Product teams on cloud roadmaps.
Requirements
Bachelor’s Degree Business, Computer Science, Finance, Information Systems or related field.
7 years experience in data engineering and infrastructure with a demonstrated ability to influence organizational strategy and lead innovation.
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Proficiency in SQL, ETL packages, strategic design of extractions, and data integration process.
Expert knowledge of business intelligence applications and modeling concepts.
Expertise with cloud-based data tools (Azure Fabric, Data Factory, Synapse, or similar).
Strong understanding of Azure resource management, security controls, and cloud governance.
Deep expertise in multiple data warehousing platforms and cloud ecosystems.
Experience with advanced data governance, compliance, and security frameworks.
Strong knowledge of interoperability standards and enterprise integration.
Excellent communication and leadership skills.
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