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Technical Lead - Data Engineer
Location
India
Posted
6 days ago
Salary
0
Seniority
Lead
Job Description
Technical Lead - Data Engineer
ProArch
Role Description We are seeking a highly skilled Microsoft Fabric Data Engineer with strong expertise in building scalable data platforms and engaging directly with US-based clients. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-grade data solutions, with a focus on data modeling, reporting optimization, and modern analytics architectures. This role requires a blend of technical depth, business understanding, and client-facing communication skills. Key Responsibilities - Data Engineering & Platform Development - Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks) - Build scalable data architectures leveraging medallion (Bronze/Silver/Gold) patterns and lakehouse models - Develop robust and optimized ETL/ELT pipelines for structured and semi-structured data - Integrate data from multiple enterprise sources (SQL Server, APIs, cloud platforms) - Data Modeling & Reporting - Design and develop semantic models and data models for reporting and analytics - Build optimized data models (facts, dimensions, relationships) for Power BI reporting - Enable Direct Lake / real-time analytics scenarios and reporting performance optimization - Work closely with BI teams to ensure high-performing dashboards and reports - Client Engagement (US Clients) - Interface directly with US stakeholders to understand business requirements and reporting needs - Participate in requirement gathering, solution walkthroughs, and design discussions - Translate business requirements into scalable technical solutions - Provide regular status updates, demos, and technical insights to client teams - Architecture & Best Practices - Define and implement Fabric-based data architectures aligned with enterprise standards - Ensure data governance, data quality, and security best practices - Optimize performance, scalability, and cost across data pipelines and storage - Collaborate with architects and cross-functional teams Qualifications - Strong experience with Microsoft Fabric / Azure Data Platform - Hands-on experience with: - Fabric Lakehouse, Data Factory, Dataflows / Pipelines - Power BI (Data modeling, DAX, performance tuning) - SQL, Python, PySpark - Expertise in data modeling (dimensional modeling, star/snowflake schemas) - Experience building scalable data pipelines and distributed processing systems - Experience with: - Azure Data Factory / Synapse / Databricks - Data ingestion, transformation, and orchestration - Understanding of data lake, data warehouse, and lakehouse architectures - Experience with CI/CD, version control, and deployment pipelines - Strong debugging, performance tuning, and problem-solving skills Requirements - 5–10 years of experience in Data Engineering - Minimum 2+ years of experience in Microsoft Fabric or modern analytics stack - Demonstrated experience in client-facing roles with US stakeholders Preferred Qualifications - Experience with Direct Lake / Real-time intelligence (RTI) scenarios - Exposure to API integrations and application-level data consumption - Certifications in Microsoft Azure / Fabric / Power BI - Experience in industry domains (Healthcare, Retail, Finance) Key Competencies - Strong analytical and problem-solving capability - Business-oriented thinking with technical depth - Ability to work independently and in global delivery teams - Proactive mindset with ownership and accountability Nice-to-Have - Exposure to AI/ML integration within Fabric ecosystem - Experience working in consulting or delivery-led environments - Familiarity with Agile delivery models
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