Sr Forward Deployed Engineer

Databricks
India
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Python","Scala","Spark","Kafka","Cloud","GCP","AWS","Azure","Data lakes","Architecture","Training","Documentation"]

Provide senior-level data engineering and cloud architecture guidance to Databricks customers on big data projects. As a Resident Solutions Architect in Professional Services, you’ll design reference architectures, lead end-to-end deployments, train client teams, and translate complex data challenges into scalable Databricks solutions across AWS, GCP, and Azure, traveling within India for onsite engagements.

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FursaFursa
Databricks
Databricks
4 months ago

Sr Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Provide senior-level data engineering and cloud architecture guidance to Databricks customers on big data projects. As a Resident Solutions Architect in Professional Services, you’ll design reference architectures, lead end-to-end deployments, train client teams, and translate complex data challenges into scalable Databricks solutions across AWS, GCP, and Azure, traveling within India for onsite engagements.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead end-to-end big data projects for customers, including design, build and deployment of Databricks-based solutions.
  • •Architect and design data pipelines, reference architectures, and production-grade MVPs for client engagements.
  • •Collaborate with Engineering and Customer Support to provide feedback and guide issue resolution during engagements.
  • •Guide strategic customers through migrations and transformations, ensuring successful adoption of Databricks platforms.
  • •Travel for onsite customer engagements within India as required.
Travel: Low travel

Key Requirements

  • •10+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
  • •6+ years of experience working on Big Data Architectures independently.
  • •Strong experience working in the Databricks ecosystem.
  • •Comfortable writing code in either Python or Scala.
  • •Experience working across Cloud Platforms (GCP / AWS / Azure).
Experience:10+ yearsBig dataData engineeringCloudDatabricksApache SparkKafka
Skills:PythonScalaSparkKafkaCloudGCPAWSAzureData lakesArchitectureTrainingDocumentation
Languages:English
Tech Stack:PythonScalaApache SparkKafkaGCPAWSAzureDatabricksData Lakes

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn