Solutions Architect – Banking and Capital Markets

Databricks

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

Posted 11/10/2026full-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 strong coding proficiency in Python and SQL. Capable of leading architecture discussions and driving technical strategy while influencing product direction and ensuring successful production deployments.

Highest-signal resume keywords

Solutions ArchitectureData EngineeringPython ProficiencyDatabricks PlatformProduction Deployments

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 PlatformsTechnical Pre-SalesArchitecture DiscussionsDebugging

Soft Skills

Excellent Communication Skills

Tools & Technologies

DatabricksAWSAzureGCPSnowflakeAzure Synapse

Certifications & Qualifications

Databricks Certifications

Industry Keywords

Data EngineeringML/AIReal-Time AnalyticsData GovernanceCloud Provider

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSnowflakeSQL

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 and design scalable, production-grade solutions across 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 by demonstrating Databricks’ differentiation through custom-built solutions
Develop and declare an emerging technical specialization and become a go-to resource for the team
Orchestrate cross-functional resources, including 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
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 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 (specific regional details provided via employer benefits information)