Technical Lead (MS Fabric, Databricks and Snowflake)

<p><strong>Job Overview:</strong></p> <p>We are looking for a senior technical lead to design, scale, and govern enterprise-grade data platforms across Microsoft Fabric, Databricks, and Snowflake. The role focuses on defining data architecture standards, enabling AI/GenAI-ready platforms, leading engineering teams, and delivering secure, high-performance cloud data solutions that support analytics and business outcomes.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.</li> <li>Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.</li> <li>Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.</li> <li>Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.</li> <li>Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.</li> <li>Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.</li> <li>Champion data governance, security, privacy, and compliance requirements within the platform.</li> <li>Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.</li> <li>Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.</li> <li>Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.</li> <li>Serve as the primary technical point of contact for data platform projects and stakeholders.</li> <li>Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.</li> <li>Develop and deliver dashboards and reports using Power BI and Tableau.</li> </ul> <p><strong>Key Skills:</strong></p> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.</li> <li>12+ years of experience in data engineering, data platform development, or cloud data architecture.</li> <li>3+ years in a technical leadership or team management role.</li> <li>Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks: <ul> <li>Pipelines</li> <li>Notebooks</li> <li>Lakehouse</li> <li>Data Warehouse</li> <li>Semantic Models</li> </ul> </li> <li>Strong proficiency in PySpark, distributed compute, and data transformation frameworks.</li> <li>Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.</li> <li>Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).</li> <li>Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.</li> <li>Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.</li> <li>Strong communication, stakeholder management, and technical documentation skills.</li> <li>Proficiency in creating interactive dashboards and reports using Power BI and Tableau.</li> </ul> <p>&nbsp;</p>