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Strong Databricks brand, Bengaluru metro location, and mid-level generalist requirements produce high applicant competition.
Specialized Databricks/Spark and data-platform experience moderately limits cross-industry transferability.
Explicit 6+ years, deep Spark/cloud expertise, and customer-facing delivery make hiring filters stringent.
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Lead architecture and design for production-grade customer solutions using the Databricks platform spanning data engineering, AI, and application development.
Drive end-to-end delivery of big data and AI projects, including custom applications, data ingestion, and ML/AI model integration with measurable outcomes.
Embed with customer teams to provide technical guidance, ensure solution adoption, and contribute reusable assets to scale impact across accounts.
6+ years experience in data engineering, data platforms & analytics, or software engineering.
Proficient coding skills in Python, Scala, or JavaScript/TypeScript with modern frameworks.
Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), expertise in at least one, and deep experience with Apache Spark and Spark runtime internals.
Experience with CI/CD, MLOps, deploying production end-to-end data architectures, and technical project delivery including managing scope and timelines.
Experienced in managing multiple stakeholder engagements including enterprise clients and navigating conflict.
Strong capability to translate complex technical concepts into actionable, customer-centric solutions and measurable business impact.
Skilled in building scalable frameworks, accelerators, and contributing to product feedback and enhancement initiatives.