Solutions Architect - Core FSI

Databricks
Mumbai
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Technical leadership","Consulting","Customer advocacy","Collaboration","Problem-solving"]

Shape the Data & AI roadmap for strategic customers as a technical advisor to sales and a partner to product and engineering. Lead solution architecture across the Databricks Lakehouse Platform, from consultative discovery to proof-of-concepts spanning data engineering, data science, machine learning, and SQL workflows. Validate integrations with cloud services and third-party tools, guide best practices, and help recruit technical champions and open-source contributors.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect - Core FSI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Shape the Data & AI roadmap for strategic customers as a technical advisor to sales and a partner to product and engineering. Lead solution architecture across the Databricks Lakehouse Platform, from consultative discovery to proof-of-concepts spanning data engineering, data science, machine learning, and SQL workflows. Validate integrations with cloud services and third-party tools, guide best practices, and help recruit technical champions and open-source contributors.
Location: Mumbai
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with the sales team to provide technical leadership and help customers understand how Databricks solves their business problems.
  • •Develop account strategies with sales for strategic prospects and customers.
  • •Consult on Big Data architectures and implement proof of concepts across data engineering, data science, machine learning, and SQL workflows.
  • •Validate integrations with cloud services, home-grown tools, and third-party applications within enterprise ecosystems.
  • •Guide customers on competitive landscapes, best practices, and implementations while collaborating with other Solutions Architects.
  • •Promote and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow).

Key Requirements

  • •8+ years in data engineering, data science, technical architecture, or similar pre-sales/consulting roles.
  • •8+ years working with Big Data technologies such as Apache Spark, Hadoop, Cassandra, and related systems.
  • •Strong consulting/customer-facing experience with external clients across multiple industries.
  • •Coding experience in Python, R, Java, Apache Spark, or Scala.
  • •Experience building distributed data systems and implementing solutions with public cloud providers (AWS, Azure, or GCP).
Experience:8+ yearsData engineeringData sciencePre-salesConsultingBig DataDistributed systemsCloud
Skills:Technical leadershipConsultingCustomer advocacyCollaborationProblem-solving
Languages:English
Tech Stack:Databricks Lakehouse PlatformApache SparkSparkDelta LakeMLflowSQLPythonRJavaScalaHadoopCassandraAWSAzureGCPCloud services

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