Senior Data Engineer - AI & Analytics Infrastructure

What you'll do

• Design, build, and maintain robust data pipelines using Microsoft Fabric, Databricks, and Azure Synapse Analytics.
• Develop scalable architectures to ensure data pipelines are performant and reliable for enterprise use.
• Define and implement data lakehouse patterns and medallion architecture to support AI and analytics use cases.
• Implement data quality checks and validation frameworks to ensure trustworthy data outputs across the platform.
• Establish and enforce data governance standards, including lineage tracking and access controls.

What we're looking for

• 7+ years of experience designing and maintaining scalable batch and real-time data pipelines on Azure and AWS.
• Expertise in building and optimizing enterprise data platforms using Azure Data Factory, Databricks, Snowflake, and AWS services.
• Development of robust ETL/ELT frameworks for analytics, reporting, operational, and AI/ML use cases across cloud ecosystems.
• Implementation of scalable ingestion and transformation pipelines for various types of enterprise data sources.
• Support for data industrialization through reusable pipeline frameworks, standardized practices, observability, monitoring, and CI/CD deployment.
• Enablement of trusted enterprise data foundations by implementing data quality controls, metadata management, lineage tracking, and governance.