Solutions Architect – Strat Media

Databricks

Solutions Architect guiding Databricks customers’ data and AI strategies. Designing cloud-native architectures, driving platform adoption, and advising senior technical leaders.

Posted 8/5/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $247,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

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 technical guidance to stakeholders.

Highest-signal resume keywords

Solutions ArchitectureData EngineeringPython ProficiencySQL ProficiencyDatabricks Platform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Data Systems ArchitectureScalable PipelinesStreaming ArchitecturesLakehouse PatternsCloud-Native Data PlatformsProduction DeploymentsInfrastructure SecurityGovernance

Soft Skills

Excellent Communication Skills

Tools & Technologies

AWSAzureGCPSnowflakeAWS Native ServicesAzure Synapse

Certifications & Qualifications

Databricks Certifications

Industry Keywords

Data/AI CompanyCloud Provider

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Own the end-to-end technical strategy for accounts, from initial discovery through production deployment and consumption growth
Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios through custom-built solutions
Develop and declare an emerging technical specialization (archetype)
Orchestrate DSAs, SSAs, and Partners to deliver comprehensive solutions
Influence product direction through structured feedback on customer requirements and competitive gaps

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, with a technical specialization
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
Ability to travel to customers 30% of the time
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience
Databricks certifications are nice to have
Experience with Snowflake, AWS native services, or Azure Synapse is nice to have
Background in a data/AI company or cloud provider is nice to have
Industry domain expertise is nice to have

Benefits

Comp & perks

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks, with specific regional details provided via the employer's benefits document