Senior Solutions Architect

Databricks
United States, New Jersey
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical leadership","Value selling","Technical account management","Mentorship","Executive communication","Strategic thinking"]

Serve as the main technical voice for Databricks in major East Coast enterprise accounts, defining and directing technical strategy alongside the Enterprise Account Executive. Lead customers through transformational adoption of Databricks, including ML and AI use cases, aligning solutions and building a community of technical champions. Provide structured mentorship, present a persuasive technical point of view to decision-makers, and support production-ready proofs of concept with hands-on resources.

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FursaFursa
Databricks
Databricks
1 month ago

Senior Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Serve as the main technical voice for Databricks in major East Coast enterprise accounts, defining and directing technical strategy alongside the Enterprise Account Executive. Lead customers through transformational adoption of Databricks, including ML and AI use cases, aligning solutions and building a community of technical champions. Provide structured mentorship, present a persuasive technical point of view to decision-makers, and support production-ready proofs of concept with hands-on resources.
Location: United States, New Jersey
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Director level

Key Responsibilities

  • •Act as the main technical voice for multiple clients and major enterprise accounts.
  • •Define and direct technical strategy for largest and important accounts in close alignment with account strategy.
  • •Lead customers through a transformational journey to evaluate and adopt Databricks solutions.
  • •Build a movement of technical champions within accounts and align technical strategies around Databricks solutions.
  • •Provide structured mentorship to other team members and build respect through experience and contributions.
Travel: Low travel

Key Requirements

  • •Be an experienced pre-sales professional with a strong track record helping large enterprises become data-driven.
  • •Use value selling, technical account management, and technical leadership to maximize enterprise account success.
  • •Be technical in big data, data science, and cloud, with the ability to connect ML and AI to relevant vertical use cases.
  • •Have production programming experience in Python, R, Scala, or Java.
  • •Nice to have: Databricks Certification.
Experience:EnterpriseBig dataData scienceCloudML & AIPre-salesProof of concept
Skills:Technical leadershipValue sellingTechnical account managementMentorshipExecutive communicationStrategic thinking
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonRScalaJavaMLAIBig dataData scienceCloud

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