Technical Lead (MS Fabric, Databricks and Snowflake)
Orion Innovation Naukri
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.
Vacancy posted a month ago
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