Job Description

Our talented Data & AI Practice is made up of globally recognized experts - and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.

The Databricks M/L Technical Lead is a senior, hands-on role responsible for the design, development, and delivery of highly scalable, secure, and performant data solutions on theDatabricks Lakehouse Platform It is expected to provide technical leadership to a team of engineers, defining coding standards, implementing architectural patterns, and ensuring the delivery of high-quality data products.

Key Responsibilities

• Lead the Design:Define and implement robust data architectures utilizing the Databricks ecosystem, including Delta Lake, Unity Catalog, Machine Learning Models and Databricks Workflows

• Hands-on Development:Serve as the most senior developer, writing high-quality, production-grade code in PySpark/Scala and SQLfor complex batch and streaming ETL/ELT pipelines.

• Performance Optimization:Lead performance tuning and optimization efforts for large-scale Spark jobs, ensuring efficient cluster utilization and cost management

• Standards & Best Practices:Define and enforce technical standards, code quality, testing frameworks (unit, integration), and DataOps/CI/CD pipelines for the engineering team.

Skills & Experiences

• 8+ yearsof experience in machine learning, data science, or MLOps, with at least4+yearsfocused specifically on the Databricks Lakehouse Platform

• Expert proficiencyin Pythonand PySpark/Scalafor large-scale data processing and machine learning.

• Deep understanding and practical experience with Delta Lakearchitecture and optimization techniques.

• Proven expertise implementing MLOpsprinciples using MLflow(Tracking, Registry, Projects, and Deployment).