Description

You will architect scalable data platforms and AI systems. This role is on-site.

Responsibilities

• Design scalable data lake architectures using Databricks and cloud-native services.
• Build metadata-driven, parameterized ingestion frameworks and multi-layer data structures.
• Architect AI systems, including RAG workflows and prompt engineering.
• Optimize data workloads and define governance frameworks.
• Translate business requirements into technical solutions.

Required Skills

• 6+ years in data engineering or .NET development.
• Strong expertise in Azure or AWS cloud platforms.
• Hands-on experience with Databricks.
• Deep proficiency in Python and SQL.
• Expertise in ETL/ELT pipelines and Azure Data Factory (ADF).
• Experience with CI/CD, DevOps, and Git-based development.
• Knowledge of data governance frameworks.

Preferred Skills

• Experience with Hadoop, Spark, Kafka, and Hive.

Key Skills

Education

Bachelor's degree