Senior Solutions Architect (Enterprise Accounts)

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Leadership","Presentation","Stakeholder management","Problem-solving"]

Senior Solutions Architect for enterprise accounts responsible for guiding customers in adopting the Databricks Data Intelligence Platform. Work with cross-functional teams (Solutions Architects, Account Executives, tech specialists) to design, position, and execute complex data analytics solutions, influence C-level stakeholders, coach account teams, and develop customer-facing collateral. Leverage Python/SQL and Spark, across AWS/Azure/Google Cloud, to drive multi-cloud adoption and long-term success.

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FursaFursa
Databricks
Databricks
3 months ago

Senior Solutions Architect (Enterprise Accounts)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Senior Solutions Architect for enterprise accounts responsible for guiding customers in adopting the Databricks Data Intelligence Platform. Work with cross-functional teams (Solutions Architects, Account Executives, tech specialists) to design, position, and execute complex data analytics solutions, influence C-level stakeholders, coach account teams, and develop customer-facing collateral. Leverage Python/SQL and Spark, across AWS/Azure/Google Cloud, to drive multi-cloud adoption and long-term success.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Engage with our largest and most complex customers to help them achieve their unified platform goals and drive adoption of the Databricks Lakehouse platform.
  • •Develop and execute customer engagement strategies in partnership with Account Executives and Solutions Architects for designated accounts.
  • •Coach core account teams and peers on positioning, adoption strategies, and execution to achieve outcomes within defined timelines.
  • •Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and third-party applications.
  • •Act as an expert solution architect and trusted advisor for data analytics architecture, design, and adoption of the Databricks platform.
Travel: Extensive travel

Key Requirements

  • •Technical background in Data Engineering or Data Warehousing or Machine Learning/AI
  • •Experience with coding in Python or SQL and willingness to learn Spark
  • •Hands-on experience with complex proofs-of-concept and public cloud platforms (AWS, Azure, Google)
  • •Ability to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity
  • •Excellent communication and stakeholder management skills with the ability to influence C-level executives
Experience:Data analyticsCloudEnterprise softwareAI/ML
Skills:CommunicationLeadershipPresentationStakeholder managementProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonSQLSparkAWSAzureGoogle CloudDatabricksDelta Lake

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