Senior Data Engineer

We're looking for a Senior Data Engineer to design and deliver scalable, production-grade data solutions using Microsoft Fabric, Databricks, and the Azure data ecosystem. In this role, you'll work on building Lakehouse architectures, optimizing data pipelines, and enabling advanced analytics across multiple business units.

You'll play a key role in shaping our data strategy, ensuring performance, scalability, governance, and automation across enterprise data platforms.

What You'll Be Working On

Designing and building cloud-native data pipelines and Lakehouse architectures

Developing ETL/ELT pipelines using Azure Data Factory, Synapse, and Databricks

Implementing metadata-driven frameworks and automated data pipelines

Optimizing data platforms for analytics, reporting, and business intelligence

Enabling Power BI data models and analytics integrations

Supporting batch and streaming pipelines and API-based ingestion

Collaborating with stakeholders to deliver trusted, scalable data products

What We're Looking For

At least 4 years of experience in SQL, ETL/ELT pipelines, and data engineering

Experience with Azure Data Factory, Azure Synapse Analytics, SSIS, and Power BI

Hands-on experience with Databricks (PySpark), Microsoft Fabric experience is a plus

Experience building Lakehouse architectures and modern data platforms

Knowledge of metadata-driven frameworks and automation patterns

Strong problem-solving skills and ability to collaborate with cross-functional teams