Data Solutions Architect
Posted 2 Oct 2026
Advertised as “Data Solutions Architect (Financial Services)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- People management
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science (or related)
Study levelBachelor's
CertificationsAssociate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, Professional ML Engineer
SunnyData is a leading Databricks technology partner, helping customers build scalable architectures, robust data engineering pipelines, and advanced ML and AI applications. As a Solutions Architect, you'll drive customer success on two fronts: hands on technical execution and presales support, splitting your time evenly between the two.
The Impact You Will Have
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Customer Engagement: Serve as a trusted advisor to customers, guiding their data engineering and architecture strategy with a focus on Databricks solutions.
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Technical Delivery: Design, build, and deploy end to end data solutions that capture, transform, and activate data for AI, ML, and business intelligence initiatives.
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Presales Support: Partner with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
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Project Oversight: Manage multiple customer accounts, ensuring timely delivery and clear reporting on progress and outcomes.
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Solution Design: Architect data solutions that incorporate best practices in governance, security, and data quality.
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Data Analysis: Evaluate data sources for their value and recommend inclusion strategies that strengthen analytics.
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Cross Functional Collaboration & Mentorship: Guide internal teams, mentor project members, and educate end users on data products and analytic environments.
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Problem Resolution: Perform system analysis, diagnose data and system defects, and apply the right fix.
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Quality Assurance: Test data movement, transformation code, and data components for accuracy and reliability.
Required Experience
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Experience: 7+ years as a hands on Solutions Architect and/or Senior Data Engineer, with recent experience implementing data solutions on Databricks.
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Technical Proficiency: Expertise in data engineering technologies (Spark, Hadoop, Kafka), the Databricks platform, and data science/ML tooling (pandas, scikit-learn).
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Architecture & Solution Design: Deep understanding of the end to end data analytics workflow (data modeling, ETL, data integration) using modern engineering techniques. Able to run architecture discovery, run solution design sessions, and build implementation blueprints that engineering and analytics teams can execute.