Solutions Architect – Digital Native Business, Fintech

Databricks

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

Posted 10/7/2026full-timeRemote • 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 a strong focus on scalable production-grade solutions and technical strategy. Proficient in Python, SQL, and the Databricks platform, with a proven ability to lead architecture discussions and drive platform adoption.

Highest-signal resume keywords

Solutions ArchitectureData EngineeringPython ProficiencyDatabricks PlatformCloud Deployment Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLDistributed Data Systems ArchitectureScalable PipelinesStreaming ArchitecturesLakehouse PatternsCloud-Native Data PlatformsLive CodingDebuggingSolution-Building

Soft Skills

Excellent Communication Skills

Tools & Technologies

Databricks PlatformAWSAzureGCP

Certifications & Qualifications

Databricks Certifications

Industry Keywords

Technical Pre-SalesReal-Time AnalyticsML/AIData GovernanceProduction Deployments

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Own end-to-end technical strategy for accounts from discovery through production deployment and consumption growth
Lead architecture discussions for scalable production-grade solutions spanning data engineering, ML/AI, and real-time analytics
Advise customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios through custom-built solutions
Develop and declare an emerging technical specialization
Coordinate DSAs, SSAs, and partners to deliver comprehensive customer solutions
Provide structured customer and competitive feedback to influence product direction
Demonstrate Databricks platform solutions through design, live coding, debugging, solution-building, and presentation interviews

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 an 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
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience
Databricks certifications, competitive platform experience, data/AI company or cloud provider background, and industry domain expertise listed as nice to have
If access to export-controlled technology or source code is required, employment may depend on U.S. government license approval

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Comprehensive benefits and perks
Region-specific employee benefits