Description

You will design and lead complex data architecture solutions.

This role is hybrid.

Responsibilities

• Design scalable data lake and data architectures using Databricks and cloud-native services.
• Develop metadata-driven, parameterized ingestion frameworks and multi-layer data architectures.
• Optimize data workloads and performance across existing data platforms.
• Define and implement data governance frameworks for data assets.
• Architect AI systems, including RAG workflows and prompt engineering.

Required Skills

• 10+ years of experience in data engineering or .NET development.
• Strong expertise in cloud platforms, primarily Azure or AWS.
• Hands-on experience with Databricks.
• Deep proficiency in Python and SQL.
• Expertise in building ETL/ELT pipelines and ADF workflows.
• Experience architecting data lakes and implementing data governance frameworks.
• Hands-on experience with CI/CD, DevOps, and Git-based development.
• Familiarity with Big Data technologies such as Hadoop, Spark, Kafka, and Hive.

Preferred Skills

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or related field.

Key Skills

Education

Bachelor's degree