Senior Data Engineer

Job Description

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 FabricDesign and implement enterprise-grade Lakehouse and Data Warehouse solutions following the Medallion ArchitectureEstablish and enforce data engineering standards for data modelling, pipelines, naming conventions, security, and lifecycle managementLead delivery of complex, high-impact data initiatives, including large-scale ingestion, near-real-time pipelines, and performance-optimized analytics workloadsEnsure the platform meets enterprise requirements for scalability, reliability, cost efficiency, and performanceChampion 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 planningTechnical 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 platformsProven hands-on expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows, and Semantic ModelsStrong background in SQL Server and T-SQL, with experience integrating on-premises and cloud data sourcesDeep understanding of modern data architecture patterns, including Medallion Architecture, CDC, and SCD modellingDemonstrated experience delivering enterprise-scale, high-volume data platformsStrong track record in data governance, security, DevOps, and cost optimizationAbility to communicate complex technical concepts to executive and non-technical stakeholdersAzure experience preferred, exposure to other cloud platforms (AWS, GCP) is a plusNice to have Certifications like DP-600, DP-203, AZ-305