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Lead AI Engineer, Databricks

Summary

Designs and builds scalable data engineering frameworks and AI-ready data products using Databricks (PySpark, Delta Lake) while integrating Agentic AI solutions like LangGraph to accelerate development for a global team of data engineers.

We are seeking a Lead AI Engineer, Databricks, to design and build data engineering frameworks, reusable components, and best practices that empower hundreds of SAP Data Engineers to build AI-ready Data Products at scale, while driving innovation in AI-assisted development and Agentic AI solutions.

Responsibilities

  • Design and build the data engineering framework, reusable components and templates (e.g. CI/CD), and best practices to boost productivity of Data Engineers building AI-ready Data Products
  • Extend the data engineering framework to make it easy for AI Agents to discover and consume Data Products at scale
  • Provide a powerful AI-assistant to accelerate Data Product development and operations
  • Establish and promote engineering excellence practices across agile team peers
  • Set up robust, scalable pipelines leveraging CI/CD frameworks
  • Collaborate with international teams to align on technical strategy and delivery
  • Guide Data Product Engineers with actionable technical direction

Requirements

  • 5+ years of experience in Data Engineering with a successful track record of building enterprise-quality Data Products, preferably in Lakehouse architecture
  • Proficiency in Python development
  • Proficiency in version control systems and CI/CD frameworks, such as GitHub and GitHub Actions
  • Expertise in Databricks technologies, including PySpark, Delta Lake and Unity Catalog, or equivalent technology
  • Expertise in Agentic AI and frameworks such as LangGraph, MCP and A2A
  • Knowledge of industry standard microservices technologies, including Kubernetes and Docker
  • Strong English communication skills, both written and spoken, for collaboration with international teams
  • Capability to provide actionable technical guidance and implement engineering excellence practices among agile team peers

Benefits

We connect like-minded people:

  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events

We invest in your growth:

  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Discounts in local language schools, including online courses for the Kazakh language

We cover it all:

  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Medical & family care package
  • Six trust days per year (sick leave without a medical certificate)
  • Coverage of psychology sessions of your choice
  • Benefits package (sports activities, a variety of stores and services)
  • Housing support program: preferential mortgage access via Otbasy Bank partnership

See also

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