Sr. Solutions Architect - Lakebase

Databricks
Berlin, Munich
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Stakeholder management","Technical advisory","Problem-solving","Strategic thinking","Collaboration"]

Partner with GTM leadership and account teams to design and execute technical engagement strategies that drive adoption of the Lakebase product line. Act as a trusted solutions advisor, building technical credibility through demos, workshops, and customer-facing collateral. Tackle complex OLTP and disaster-recovery challenges, influence product roadmap with field-derived insights, and serve as a tier-3 escalation point for mission-critical customer environments.

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FursaFursa
Databricks
Databricks
1 month ago

Sr. Solutions Architect - Lakebase

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Last checked: 7 hours agoStatus: Live

Job Summary

Partner with GTM leadership and account teams to design and execute technical engagement strategies that drive adoption of the Lakebase product line. Act as a trusted solutions advisor, building technical credibility through demos, workshops, and customer-facing collateral. Tackle complex OLTP and disaster-recovery challenges, influence product roadmap with field-derived insights, and serve as a tier-3 escalation point for mission-critical customer environments.
Location: Berlin, Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across the assigned territory.
  • •Serve as a trusted expert solutions architect and technical “champion” to drive product adoption and vision with stakeholders.
  • •Enable clients at scale through workshops and development of customer-facing collateral to improve technical knowledge.
  • •Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
  • •Act as a tier-3 escalation point for the field, resolving the most complex technical challenges in mission-critical environments.

Key Requirements

  • •10+ years of transactional database (OLTP) experience across engineering, product development, administration, and pre-sales, delivering client-facing solutions.
  • •Experience architecting solutions that integrate transactional data systems within Big Data, lakehouse, and AI ecosystems.
  • •Infrastructure and platform expertise across disaster recovery, high availability, backup/recovery, identity and security management, and migrations (on-prem to cloud and vendor-to-vendor).
  • •6+ years in a customer-facing pre-sales or consulting role influencing technical executives and driving product adoption.
  • •Proficiency in SQL and Python, plus hands-on experience building solutions in major public clouds (AWS, Azure, or GCP).
Experience:6+ yearsCustomer-facingPre-salesConsultingOLTPData engineeringData warehousingAI/MLLakehouseStreaming
Education:Bachelor's
Skills:Stakeholder managementTechnical advisoryProblem-solvingStrategic thinkingCollaboration
Languages:English
Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouseDelta LakeMLflowStreamingDisaster recoveryHigh availability

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