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Strong employer brand and metro location, but specialized pre-sales data skillset limits applicant density.
Highly domain-specific Databricks, big-data and pre-sales expertise reduces cross-industry transferability.
Explicit 8+ years and required Big Data, Spark, cloud and coding skills create strict shortlisting filters.
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Provide technical leadership and advisory to sales teams and customers for integrating Databricks Lakehouse Platform to solve big data and AI problems.
Develop and execute account strategies by partnering with sales, including consulting on big data architectures and implementing proofs of concept across data engineering, data science, and ML.
Collaborate with internal teams and customers to influence product roadmap, validate integrations, and promote Databricks open-source projects like Spark, Delta Lake, and MLflow.
8+ years experience in data engineering, data science, technical architecture, or similar pre-sales/consulting role.
8+ years working with Big Data technologies including Apache Spark™, AI, Hadoop, Cassandra, etc.
Strong consulting/customer-facing experience across various industries.
Experience coding in Python, R, Java, Apache Spark™ or Scala, and building distributed data systems; willingness to travel regionally; based in Mumbai (Hybrid role).
Experienced in strategic customer engagement with a proven track record in technical solution development for big data and AI platforms.
Deep expertise in public cloud environments (AWS, Azure, or GCP) and integration of data platforms into enterprise ecosystems.
Comfortable influencing product direction through customer insights and collaborating cross-functionally within product and engineering teams.