Solutions Architect – Retail, Consumer Goods, Travel & Hospitality

Databricks

. Own end-to-end technical strategy for accounts from initial discovery through production deployment and consumption growth .

Posted 10/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $180,000 - $247,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solutions architecture and data engineering, with strong coding proficiency in Python and SQL. Capable of leading architecture discussions and driving platform adoption while providing strategic insights to influence product direction.

Highest-signal resume keywords

Solutions ArchitectureData EngineeringPython ProficiencyDatabricks PlatformCloud Deployment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solutions ArchitectureData EngineeringPythonSQLDistributed Data Systems ArchitectureScalable PipelinesStreaming ArchitecturesLakehouse PatternsCloud-Native Data PlatformsTechnical Pre-Sales

Soft Skills

Excellent Communication SkillsLeadershipCollaboration

Tools & Technologies

DatabricksAWSAzureGCP

Certifications & Qualifications

Databricks Certifications

Industry Keywords

ML/AIReal-Time AnalyticsData GovernanceInfrastructure SecurityCompetitive Platforms

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Own end-to-end technical strategy for accounts from initial discovery through production deployment and consumption growth
Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics
Advise customer architects, engineering leads, and Directors
Demonstrate Databricks’ differentiation through custom-built solutions in competitive scenarios
Develop and declare an emerging technical specialization
Orchestrate DSAs, SSAs, and Partners to deliver comprehensive solutions
Provide structured customer and competitive feedback to influence product direction
Participate in recruiter, hiring manager, design and architecture, live coding, build/demo/pitch, and reference check stages

Requirements

What you’ll need

6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building
Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
Proficiency on the Databricks Platform or ability to achieve proficiency rapidly
Developing technical specialization in one area, such as real-time/streaming, ML/AI, data governance, or migrations
Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis
Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance
Track record of driving platform adoption and consumption growth within accounts
Excellent communication skills for translating complex architectures into business value for technical and executive audiences
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience
Databricks certifications, experience with competitive platforms, data/AI company or cloud provider background, and industry domain expertise are nice to have

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks (specific details vary by region)