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Strong employer brand, metro location, and generalist senior presales role balanced by seniority and niche Big Data skills.
Role demands deep Big Data, Spark, MLflow, and cloud presales experience, limiting cross-industry transferability.
Explicit 15+ years requirement plus mandatory big-data, cloud, and coding experience makes filtering strict.
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Lead technical advisory for sales to showcase Databricks Lakehouse Platform’s value, solving big data, data engineering, and data science challenges.
Develop and execute account strategies to help customers integrate Databricks with their enterprise ecosystems, including proof of concept implementations and architecture development.
Collaborate with product and engineering teams to influence Databricks roadmap and grow the open-source community around Spark, Delta Lake, and MLflow.
15+ years experience in data engineering, data science, technical architecture, or pre-sales/consulting roles.
10+ years hands-on with Big Data technologies like Apache Spark, AI, Hadoop, Cassandra.
Proven consulting/customer-facing experience with diverse industry clients; coding skills in Python, R, Java, Scala, or Spark.
Experience building distributed data systems and working with public cloud providers (AWS, Azure, or GCP). Location: Hybrid role based in Bengaluru; travel availability required.
Senior-level operator with technical depth in big data and AI infrastructure, capable of shaping complex enterprise data strategies.
Consulting mindset with proven ability to partner closely with sales and drive end-to-end customer technical success and adoption.
Experienced community advocate able to engage and grow the developer ecosystem around Databricks open-source projects.