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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.