Manager, Forward Deployed Engineering

Databricks
India, Karnataka
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Leadership","Communication","Training","Consulting","Architecture design"]

Lead a Professional Services team delivering big data and analytics projects on the Databricks platform. You’ll guide data engineers and architects on end-to-end engagements, architect reference solutions, and mentor the team while collaborating with engineering and client stakeholders to drive adoption of Databricks data and AI capabilities across India.

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FursaFursa
Databricks
Databricks
5 months ago

Manager, Forward Deployed Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead a Professional Services team delivering big data and analytics projects on the Databricks platform. You’ll guide data engineers and architects on end-to-end engagements, architect reference solutions, and mentor the team while collaborating with engineering and client stakeholders to drive adoption of Databricks data and AI capabilities across India.
Location: India, Karnataka
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead and manage a team of data engineers and architects on client engagements, ensuring delivery of high-impact big data and analytics projects.
  • •Provide architecture guidance and design oversight for end-to-end deployment of Databricks-based solutions and integrations.
  • •Collaborate with customers, engineering and support teams to resolve issues and optimize implementations.
  • •Drive adoption of Databricks platform across customer environments through hands-on mentoring, design reviews, and best-practice guidance.
  • •Support pre-sales and post-sales activities by documenting solutions, conducting whiteboards, and shaping reference architectures.
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.
  • •4+ years of people management experience, managing a team of Data Engineers, Data Architects etc.
  • •6+ years of experience working on Big Data Architectures independently.
  • •Experience working across Cloud Platforms (GCP / AWS / Azure).
  • •Willingness to travel for onsite customer engagements within India.
Experience:10+ yearsBig dataData engineeringCloud
Skills:LeadershipCommunicationTrainingConsultingArchitecture design
Languages:English
Tech Stack:Apache SparkKafkaCloud PlatformsGCPAWSAzureDatabricks

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