Back
Tier-1 employer, mid-level seniority, metro location, and generalist data/solutions skills increase competition.
Strong Big Data, Apache Spark, and Databricks-focused requirements increase domain specificity.
Mandatory 5+ years, Big Data/Spark, cloud and customer-facing experience enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide technical leadership and advisory to sales and customers on Databricks Lakehouse Platform usage and integration projects.
Develop and execute account strategies with sales teams, driving customer success in big data, analytics, data science, and engineering solutions.
Collaborate with product, engineering, and other Solutions Architects to influence product roadmap and promote Databricks open-source projects.
5+ years experience in data engineering, data science, technical architecture, or pre-sales/consulting roles.
5+ years experience with Big Data technologies such as Apache Spark™, AI, Hadoop, Cassandra.
Coding experience in Python, R, Java, Apache Spark™ or Scala.
Role based in Delhi (Hybrid) with availability to travel regionally.
Experienced at building distributed data systems and integrating solutions with public cloud providers (AWS, Azure, or GCP).
Strong client-facing consulting background across multiple industries, capable of managing strategic customer engagements.
Technical advocate capable of influencing product development and recruiting contributors in open-source data projects.