Description

You will design and implement scalable data architectures using Databricks, Spark, and Delta Lake.

This role is on-site.

Responsibilities

• Design and implement data architectures, models, and pipelines using Databricks and Delta Lake.
• Develop and maintain data lakehouses, optimizing for performance and cost.
• Define best practices for data ingestion, transformation, and storage using Databricks workflows.
• Lead migration efforts from legacy systems to modern cloud data platforms.
• Define governance strategies and ensure compliance with security frameworks.

Required Skills

• 14+ years of experience in data architecture.
• 5+ years hands-on experience with Databricks.
• Strong experience with Snowflake.
• Proficiency in Apache Spark, Delta Lake, and PySpark.
• Experience with AWS, specifically AWS Databricks.
• Knowledge of ETL/ELT pipelines and data modeling.
• Familiarity with CI/CD and DevOps principles.

Preferred Skills

• Knowledge of data governance, security, and compliance frameworks.
• Experience with Power BI.

Key Skills

Education

Any Gradute