Sr. Big Data Engineer

Databricks
India
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsSkills: ["Communication","Problem-solving"]

Senior Big Data Engineer in Professional Services, focused on delivering data engineering, data science, and cloud-based projects for clients using the Databricks platform. You’ll lead architecture design, guide customers through end-to-end big data deployments, collaborate with engineering and support teams, and travel within India for onsite engagements while building production-grade reference architectures and MVPs.

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FursaFursa
Databricks
Databricks
4 months ago

Sr. Big Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Senior Big Data Engineer in Professional Services, focused on delivering data engineering, data science, and cloud-based projects for clients using the Databricks platform. You’ll lead architecture design, guide customers through end-to-end big data deployments, collaborate with engineering and support teams, and travel within India for onsite engagements while building production-grade reference architectures and MVPs.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead and deliver on a variety of customer technical Big Data projects, including building reference architectures, how-tos, and production-grade MVPs
  • •Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications
  • •Consult on architecture and design; bootstrap or implement strategic projects to drive adoption of Databricks
  • •Collaborate with Engineering and Databricks Customer Support to provide product/implementation feedback and coordinate issue resolution
  • •Travel for onsite customer engagements within India and support deployment/integration activities
Travel: Low travel

Key Requirements

  • •8+ years of 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:8+ yearsBig dataSparkKafkaDatabricksCloudData lakes
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:Apache SparkKafkaPythonScalaDatabricksGCPAWSAzure

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