Senior Data Engineer

We are seeking an experienced Senior Data Engineer to design, architect, and optimize scalable data platforms using Microsoft Fabric . The role focuses on building enterprise-grade Lakehouse and Data Warehouse solutions following the Medallion architecture , developing robust data pipelines from SQL Server (on-prem) sources, and enabling analytics and reporting at scale. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively with cross-functional team. You’ll mentor engineers, drive best practices, and partner with product/BI leaders to evolve the analytics platform.

Key Responsibilities: -

• Architect and implement end-to-end Lakehouse and Data Warehouse solutions using Microsoft Fabric
• Design and implement enterprise-grade Lakehouse and Data Warehouse solutions following the Medallion Architecture
• Establish and enforce data engineering standards for data modelling, pipelines, naming conventions, security, and lifecycle management
• Lead delivery of complex, high-impact data initiatives, including large-scale ingestion, near-real-time pipelines, and performance-optimized analytics workloads
• Ensure the platform meets enterprise requirements for scalability, reliability, cost efficiency, and performance
• Champion data governance & security (Purview classifications, RBAC/ABAC, PII handling, row-level/object-level security).
• Design and enforce CI/CD strategies across environments; orchestrate releases and incident/problem management.
• Act as a trusted advisor to Product, BI, and Analytics leaders on data strategy, SLAs, and roadmap planning

Technical Skill: -

• Bachelor’s or Master’s degree in Computer Science, IT, or equivalent experience.
• 5 - 8+ years of experience in data engineering and modern data platforms
• Proven hands-on expertise with Microsoft Fabric , including Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows, and Semantic Models
• Strong background in SQL Server and T-SQL , with experience integrating on-premises and cloud data sources
• Deep understanding of modern data architecture patterns , including Medallion Architecture, CDC, and SCD modelling
• Demonstrated experience delivering enterprise-scale, high-volume data platforms
• Strong track record in data governance, security, DevOps, and cost optimization
• Ability to communicate complex technical concepts to executive and non-technical stakeholders
• Azure experience preferred, exposure to other cloud platforms (AWS, GCP) is a plus
• Nice to have Certifications like DP-600, DP-203, AZ-305