Technical Lead (MS Fabric, Databricks and Snowflake)

Job Overview:

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.

Key Responsibilities

• Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.


• Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.


• Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.


• Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.


• Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.


• Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.


• Champion data governance, security, privacy, and compliance requirements within the platform.


• Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.


• Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.


• Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.


• Serve as the primary technical point of contact for data platform projects and stakeholders.


• Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.


• Develop and deliver dashboards and reports using Power BI and Tableau.

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.


• 12+ years of experience in data engineering, data platform development, or cloud data architecture.


• 3+ years in a technical leadership or team management role.


• Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks:
  
  
  
  • Pipelines
  
  
  • Notebooks
  
  
  • Lakehouse
  
  
  • Data Warehouse
  
  
  • Semantic Models
  
  
  
  


• Strong proficiency in PySpark, distributed compute, and data transformation frameworks.


• Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.


• Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).


• Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.


• Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.


• Strong communication, stakeholder management, and technical documentation skills.


• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.