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Databricks

Senior Solutions Architect

Databricks

. Drive technical and consumption strategy for complex customer engagements .

Posted 10/6/2026full-timeRemote • Texas • United StatesSenior💰 $219,100 - $301,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expert-level proficiency in Python, SQL, and the Databricks Platform, with a strong focus on enterprise data architecture and AI strategy. Proven ability to influence senior stakeholders and drive platform adoption and consumption growth in large accounts.

Highest-signal resume keywords
Expert-Level Python ProficiencyExpert-Level SQL ProficiencyDatabricks Platform KnowledgeEnterprise Data Architecture ExpertiseStrategic Thinking in Technical Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLSparkPySparkEnterprise Data ArchitectureDistributed SystemsStreaming/Real-Time SystemsLakehouse Design PatternsData Governance FrameworksCloud-Native Platforms
Soft Skills
MentoringCoachingInfluencing StakeholdersStrategic ThinkingCross-Functional Collaboration
Tools & Technologies
Databricks PlatformAWSGoogle CloudMicrosoft AzureSnowflake
Certifications & Qualifications
Databricks Certifications
Industry Keywords
Solutions ArchitectureTechnical Pre-Sales LeadershipCustomer EngagementEnterprise EvaluationsThought Leadership

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsPySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Drive technical and consumption strategy for complex customer engagements
  • Own senior-level technical relationships and advise on enterprise data and AI strategy
  • Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
  • Operate as an expert on the Databricks Platform and drive horizontal impact across the team
  • Mentor others and coach junior SAs on technical depth, customer engagement, and use case prioritization
  • Develop and execute competitive strategies positioning Databricks against incumbent and emerging platforms
  • Orchestrate cross-functional teams including DSAs, SSAs, partners, and product teams
  • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
  • Influence platform adoption, consumption, and revenue growth in large accounts

Requirements

What you’ll need
  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
  • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark
  • Completion of a live coding assessment and platform build during the interview
  • Deep expertise in enterprise data architecture, distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
  • Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated rapid learning ability
  • Declared technical specialization with recognized depth
  • Proven track record of driving consumption growth and platform adoption in large accounts
  • Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
  • Experience leading competitive displacements and complex enterprise evaluations
  • Strong strategic thinking connecting technical architecture decisions to business outcomes and revenue impact
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience
  • Databricks certifications are nice to have
  • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company is nice to have
  • Published thought leadership is nice to have
  • Industry vertical expertise with executive-level domain credibility is nice to have

Benefits

Comp & perks
  • Annual performance bonus eligibility
  • Equity eligibility
  • Comprehensive benefits and perks (specific regional details provided via Databricks benefits documentation)