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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, architecture, and implementation of end-to-end data engineering and AI solutions on the Databricks platform for enterprise customers.
Deliver production-grade customer projects including custom applications, data pipelines, ML/AI integration, and reference architectures with measurable business impact.
Engage deeply with customer teams to embed solutions, provide guidance, and contribute reusable accelerators that enhance scalability and influence product direction.
Minimum Requirements
6+ years experience in data engineering, data platforms & analytics, or software engineering.
Proficiency in coding using Python, Scala, JavaScript/TypeScript, or modern frameworks.
Expertise in at least one cloud ecosystem (AWS, Azure, or GCP); working knowledge of at least two.
Deep experience with Apache Spark and knowledge of Spark runtime internals; familiarity with CI/CD and MLOps processes.
Ideal Candidate Profile
Experienced in managing complex technical project deliveries with scope and timeline management for enterprise clients.
Strong skills in designing scalable, secure, and performant production data architectures that integrate ML/AI models and user interfaces.
Comfortable working cross-functionally with engineering, product teams, and customer stakeholders including executives, and able to travel up to 20% as needed.