Position: Data Architect (Databricks)

Location: Pune (Hybrid)

Role Overview
We are looking for an experienced Data Architect – Databricks Champion recognition to provide architecture and technical leadership for enterprise-scale data platforms built on Azure Databricks and Lakehouse architecture. Need to have.

The candidate should combine robust architectural expertise with hands-on data engineering experience and be capable of translating complex business requirements into scalable, secure, governed and high-performance data solutions. The role will work closely with Data Architects, Data Engineers, Analytics teams and business stakeholders while mentoring engineering teams and establishing Databricks architecture and development best practices.

Key Responsibilities
• Architect and lead enterprise-scale Azure Databricks Lakehouse solutions.
• Design scalable Bronze, Silver and Gold architectures for ingestion, transformation, integration and data consumption.
• Lead complex ETL/ELT, data migration and modernization initiatives across multiple source systems and business domains.




• Define reusable architecture patterns, engineering standards and frameworks using Databricks, Spark, PySpark, SQL and Delta Lake.
• Design and review analytical and dimensional data models, including Fact/Dimension and Star Schema models.
• Drive performance optimization of Spark workloads, SQL queries and data pipelines.
• Establish standards for data quality, governance, metadata, lineage, security, monitoring and access management.
• Define engineering practices around Git, CI/CD, automated deployment and code quality.
• Conduct architecture/design reviews and provide hands-on technical guidance to Data Engineers.
• Mentor engineering teams and collaborate with senior business and technical stakeholders on solution design, technical dependencies and risks.

Technical Skills & Certifications - Essential Skills
• 10–15 years of experience in Data Engineering/Data Architecture.
• Stro

📌 Databricks Architect (Pune)
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📍 Pune