Solutions Architect

Databricks
Pune
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Consultative problem-solving","Customer-facing leadership","Strategic advisory","Collaboration","Thought leadership"]

Serve as a trusted technical advisor to named enterprise accounts within a GCC Field Engineering team. Help shape customers’ data and AI strategy by designing GenAI and ML architectures, validating build-vs-buy decisions, and turning AI ambitions into production on the Databricks Data Intelligence Platform. Lead hands-on lakehouse solution design, implement proofs of concept, partner closely with sales and engineering, and promote Databricks open-source contributions across the developer community.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
1 month ago

Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Serve as a trusted technical advisor to named enterprise accounts within a GCC Field Engineering team. Help shape customers’ data and AI strategy by designing GenAI and ML architectures, validating build-vs-buy decisions, and turning AI ambitions into production on the Databricks Data Intelligence Platform. Lead hands-on lakehouse solution design, implement proofs of concept, partner closely with sales and engineering, and promote Databricks open-source contributions across the developer community.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Act as a trusted technical advisor for named strategic accounts, influencing key architectural decisions across data, AI/ML, and platform engineering
  • •Partner to help customers define and execute AI strategy, designing GenAI and ML architectures and supporting production deployments on Databricks
  • •Collaborate with sales and provide hands-on technical leadership to help enterprise customers address business problems across the data and AI lifecycle
  • •Consult on modern lakehouse architectures and deliver proofs of concept across data engineering, data warehousing, machine learning, and GenAI
  • •Work with sales and account teams to develop account strategy and support consistent architectural guidance across regions
Travel: Medium travel

Key Requirements

  • •12+ years in data engineering, data science, technical architecture, or a similar pre-sales/consulting role
  • •8+ years hands-on experience with Big Data and AI technologies, including Apache Spark and modern AI/ML workloads
  • •Strong hands-on architectural experience to whiteboard and personally build end-to-end solutions
  • •Experience working with large enterprise or Fortune 500 customers, including supporting global accounts
  • •Coding experience in Python, SQL, Scala, Java, or R
Experience:Big DataAIData engineeringData scienceSaaS
Skills:Consultative problem-solvingCustomer-facing leadershipStrategic advisoryCollaborationThought leadership
Certifications:Databricks Certification
Languages:English
Tech Stack:Apache SparkDelta LakeMLflowUnity CatalogLakehouseGenAIPythonSQLScalaJavaRAWSAzureGCP

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