Solutions Architect (Lakebase)

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Problem-solving","Collaboration","Stakeholder management"]

Solutions Architect (Lakebase) collaborates with account teams to design and deliver high-impact, data-driven engagements for a targeted territory. They act as a trusted advisor, building credibility to drive product adoption, enable clients at scale through workshops and collateral, influence product roadmaps with field insights, and resolve complex technical challenges in mission-critical environments.

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FursaFursa
Databricks
Databricks
3 months ago

Solutions Architect (Lakebase)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Solutions Architect (Lakebase) collaborates with account teams to design and deliver high-impact, data-driven engagements for a targeted territory. They act as a trusted advisor, building credibility to drive product adoption, enable clients at scale through workshops and collateral, influence product roadmaps with field insights, and resolve complex technical challenges in mission-critical environments.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
  • •As a trusted advisor, serve as an expert Solutions Architect and 'champion,' building technical credibility with stakeholders to drive product adoption and vision.
  • •Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
  • •Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
  • •Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Key Requirements

  • •6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
  • •Proficient in programming, debugging, and problem-solving using SQL and Python.
  • •Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
  • •Broad experience across data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
  • •Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
Experience:6+ yearsData engineeringData warehousingAIMLGovernanceTransactional systemsApp developmentStreaming
Education:Bachelor's
Skills:CommunicationPresentationProblem-solvingCollaborationStakeholder management
Languages:English
Tech Stack:SQLPythonAWSAzureGCPDatabricksBig DataLakehouse

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