Senior Data Engineer (Databricks)

📋 Description

• Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and
• Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake
• Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt —
• Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model
• Collaborate with product and backend engineers to design data models, APIs, and application data
• Consult with clients to understand their data challenges, develop data strategies, and implement

🎯 Requirements

• 7-10 years of data engineering experience with at least 5 years in production Databricks
• Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments —
• Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured
• Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design
• Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit
• Strong proficiency in SQL and Python

🎁 Benefits

• Work with passionate and talented people who are always looking to make things better
• A work environment where respect, mutual trust, and egoless collaboration are paramount
• Colleagues who take their work seriously but not themselves, and who know how to let loose and have
• Being part of a team with a reputation for excellence that gives back to the community by
• Work on products and accounts that have outsized impact and reach
• Believe in sweating the details, giving a damn about quality, and taking pride in going the extra