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Tier-1 brand, metro location, and broad visible pre-sales data role drive high applicant competition.
Role's deep big-data, Spark, and Databricks platform expertise makes cross-industry transfers limited.
Explicit 15+ years, 10+ years Big Data, and specific Spark/cloud requirements create very strict filters.
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Provide technical leadership and partner with sales to help customers solve business problems using Databricks Lakehouse Platform.
Consult on Big Data architectures, implement proofs of concept covering data engineering, data science, machine learning, and SQL workflows.
Collaborate with product, engineering, and customer-facing teams to influence roadmap and develop scalable data solutions integrated with cloud and third-party services.
15+ years in data engineering, data science, technical architecture, or similar pre-sales/consulting role.
10+ years experience with Big Data technologies including Apache Spark, AI, Data Engineering, Hadoop, Cassandra.
Coding experience in Python, R, Java, Scala, or Apache Spark.
Location: Hybrid role based in Mumbai; available to travel to customers in the region.
Proven expertise in architecting and delivering distributed data systems on public cloud platforms such as AWS, Azure, or GCP.
Strong customer-facing consulting experience across multiple industries, capable of developing and executing account strategies.
Technical influencer skilled in collaborating with product and engineering teams and active in open-source projects related to Spark, Delta Lake, or MLflow.