Solutions Architect

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Consulting","Customer-facing","Technical leadership","Relationship building","Problem-solving"]

Shape customer data and AI strategies as a trusted technical advisor within a Global Capability Center field engineering team. Work closely with named strategic accounts and enterprise customers to design GenAI and ML architectures, validate build-vs-buy decisions, and implement proofs of concept across data engineering, warehousing, and machine learning on the Databricks Data Intelligence Platform. Partner with sales, product, and engineering to drive the roadmap, deliver consistent architectural guidance globally, and promote Databricks-inspired open source projects.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
3 days ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 4 days ago

Job Summary

Shape customer data and AI strategies as a trusted technical advisor within a Global Capability Center field engineering team. Work closely with named strategic accounts and enterprise customers to design GenAI and ML architectures, validate build-vs-buy decisions, and implement proofs of concept across data engineering, warehousing, and machine learning on the Databricks Data Intelligence Platform. Partner with sales, product, and engineering to drive the roadmap, deliver consistent architectural guidance globally, and promote Databricks-inspired open source projects.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Serve as the trusted technical advisor for named strategic accounts, building durable relationships with data, AI/ML, and platform engineering leaders.
  • •Partner with customer teams to shape AI strategy and design GenAI/ML architectures, including evaluating build-vs-buy and production deployment on Databricks.
  • •Provide hands-on technical leadership with sales to help enterprise customers across the full data and AI lifecycle.
  • •Consult on modern Lakehouse architectures and implement proofs of concept spanning data engineering, data warehousing, machine learning, and GenAI.
  • •Collaborate with sales, product, and engineering to drive the Databricks roadmap forward and deliver consistent architectural guidance across regions while promoting Databricks-inspired open-source projects.
Travel: Low 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: able to whiteboard, design, and personally build end-to-end solutions.
  • •Demonstrated experience supporting large enterprise/Fortune 500 customers, ideally across multiple geographies.
  • •Coding experience in Python, SQL, Scala, Java, or R, plus hands-on experience with at least one major public cloud (AWS, Azure, or GCP).
Experience:EnterpriseFortune 500SaaSBig DataAI/ML
Skills:ConsultingCustomer-facingTechnical leadershipRelationship buildingProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:Databricks Data Intelligence PlatformLakehouseUnity CatalogGenAIAI/MLApache SparkDelta LakeMLflowSparkPythonSQLScalaJavaRAWSAzureGCPMachine learningData engineeringData warehousing

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