Databricks Architect

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Design architect and implement scalable data solutions using Azure and the Databricks ecosystem.
Lead the end-to-end lifecycle of data platform implementations-from requirements gathering and design to deployment.
Collaborate with data scientists developers and business stakeholders to deliver enterprise-grade solutions.
Stay ahead of emerging technologies to drive innovation and solve complex business challenges.
Mentor and guide data engineering teams promoting technical excellence and best practices.
Contribute to organizational initiatives such as capability building solution development and talent development.

Required Qualifications

8 years of technical experience with at least 4 years hands-on in Microsoft Azure and Databricks.
Led 2 end-to-end Data Lakehouse implementations using Azure Databricks and Medallion Architecture.
Expertise in Databricks ecosystem: PySpark Notebooks Unity Catalog Delta Live Tables Workflows SQL Warehouse Mosaic AI AI/BI Genie.
Strong experience with Azure data tools: ADF ADLS Gen2 SQL DB Microsoft Fabric Event Hub Stream Analytics Cosmos DB Purview Log Analytics.
Proven ability in building metadata-driven frameworks for data engineering.
Proficient in Python and SQL with strong debugging and optimization skills.
Solid understanding of data modeling (Dimensional and 3NF).
Exposure to LLM/GenAI-powered applications and CI/CD pipelines using Git Jenkins or Azure DevOps.
Bonus: Familiarity with Cloudera/Hortonworks Neo4j Elasticsearch or vector databases.
Additional advantage: Knowledge of Azure infrastructure networking and security.

Educational Qualification

Bachelors degree (B.E/) in Computer Science Information Technology or a related discipline from a reputed institute.

Key Responsibilities Design architect and implement scalable data solutions using Azure and the Databricks ecosystem. Lead the end-to-end lifecycle of data platform implementations-from requirements gathering and design to deployment. Collaborate with data scientists developers and business st...