Databricks Architect at HCLTech

Elevate your career as a Databricks Architect with HCLTech, where you will design and optimize advanced cloud data platforms. Leverage your Databricks and data engineering skills while leading data governance and analytics initiatives.

HCLTech seeks an experienced Databricks Architect to spearhead the design and implementation of scalable Lakehouse solutions. This role demands strong expertise in Databricks, Apache Spark, and cloud platforms such as AWS, Azure, and GCP. You'll lead end-to-end architecture and modernization of data solutions tailored for AI/ML and business intelligence.

Key Responsibilities:

• Architect scalable ETL/ELT pipelines using PySpark and Databricks Workflows

• Implement Delta Lake and Medallion Architecture

• Lead migration of legacy data warehouses to Databricks

• Optimize Spark jobs for performance and cost efficiency

• Define data governance and security standards

Requirements:

• 10+ years in Data Engineering or Architecture

• 5+ years of experience with Databricks

• Strong stakeholder management skills

• Experience with CI/CD and Dev Ops practices

• Knowledge of data modeling and governance frameworks

Harness your expertise in Databricks and cloud technology to drive impactful data architecture initiatives with HCLTech.
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