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Tier-1 brand, metro location, and broad technical skillset drive very high competition.
Role demands deep data engineering and Spark expertise, reducing cross-domain transferability.
Explicit 15+ years, mandatory big-data and cloud expertise make shortlisting highly strict.
Provide technical leadership to sales and customers to solve business problems using the Databricks Lakehouse Platform.
Consult and implement proofs of concept in Big Data, data engineering, data science, ML, and SQL workflows, including cloud integrations.
Collaborate with product and engineering teams to influence the Databricks roadmap and develop architectures for strategic prospects and customers.
15+ years in data engineering, data science, technical architecture, or similar pre-sales/consulting role.
10+ years experience with Big Data technologies such as Apache Spark™, AI, Data Engineering, Hadoop, Cassandra.
Experience with coding in Python, R, Java, Apache Spark™ or Scala and building distributed data systems.
Role is hybrid based in Bengaluru with travel availability to customers in the region.
Experienced in consulting and customer-facing roles supporting diverse industry markets on complex data solutions.
Demonstrated skill in partnering with sales teams to develop business and technical strategies.
Technical expertise with public cloud platforms (AWS, Azure, GCP) and proficient in open-source data tools (Spark, Delta Lake, MLflow).