Senior Solutions Architect – Travel and Hospitality

Databricks

. Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $219,100 - $301,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level proficiency in Python, SQL, and Databricks Platform, with a strong focus on enterprise data architecture and AI strategy. Proven ability to influence senior stakeholders and drive platform adoption through strategic technical engagements and mentoring.

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 SystemsLakehouse Design PatternsData Governance FrameworksCloud-Native PlatformsReal-Time Systems

Soft Skills

MentoringCoachingInfluencing StakeholdersStrategic ThinkingCustomer Engagement

Tools & Technologies

DatabricksAWSGoogle CloudMicrosoft AzureSnowflake

Certifications & Qualifications

Databricks Certifications

Industry Keywords

AI StrategyPlatform AdoptionConsumption GrowthCompetitive DisplacementsThought Leadership

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsPySparkPythonSnowflakeSparkSQL

About the role

Key responsibilities & impact

Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth
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 DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions
Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

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, prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and industry vertical expertise are nice to have

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Comprehensive benefits and perks; specific regional details provided via Databricks benefits documentation