---
title: 'Principal Solutions Architect (Financial Services) at SunnyData'
canonical: 'https://feeny.ai/job/principal-solutions-architect-financial-services-sunnydata-united-states-9r6vp4qhc1py'
type: 'job'
last_seen: '2026-10-17'
---

# Principal Solutions Architect (Financial Services) at SunnyData

- **Company:** SunnyData
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/sunnydata/d81ce62f-5dd7-439e-9d0b-adffde1616fe

## Job description

SunnyData is a leading Databricks technology partner, helping customers build scalable architectures, robust data engineering pipelines, and advanced ML and AI applications. As a Principal 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

- Customer Engagement: Serve as a trusted advisor to customers, guiding their data engineering and architecture strategy with a focus on Databricks solutions.
- Technical Delivery: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data for AI, ML, and business intelligence initiatives, while driving innovation through thought leadership on data trends.
- Presales Support: Partner with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
- Project Oversight: Manage multiple customer accounts, ensuring timely delivery and clear reporting on progress and outcomes.
- Solution Design: Architect data solutions that incorporate best practices in governance, security, and data quality.
- Data Analysis: Evaluate data sources for their value and recommend inclusion strategies that strengthen analytics.
- Cross Functional Collaboration & Mentorship: Guide internal teams, provide direction and mentorship to project teams, and educate end users on data products and analytic environments.
- Problem Resolution: Perform system analysis, diagnose data and system defects, and apply the right fix.
- Quality Assurance: Test data movement, transformation code, and data components for accuracy and reliability.

Required Experience

- Experience: 10+ years as a hands on Solutions Architect and/or Senior Data Engineer, with recent experience implementing data solutions on Databricks.
- Technical Proficiency: Expertise in data engineering technologies (Spark, Hadoop, Kafka), the Databricks platform, and data science/ML tooling (pandas, scikitlearn).
- 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 complex architecture discovery, solution design sessions, and build implementation blueprints that engineering and analytics teams can execute.
- Programming Skills: Proficiency in Java, Python, and/or Scala.
- Cloud Platforms: AWS, Azure, and/or GCP.
- SQL Expertise: Able to write, debug, and optimize SQL queries.
- Client Facing Skills: Strong written and verbal communication, with experience in client facing roles.
- Presentation Skills: Able to build and deliver detailed presentations to clients and stakeholders.
- Documentation: Experience producing detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
- End to End Solutions: Able to take technical solutions into production, ensuring performance, security, scalability, and robust data integration.
- Team Leadership: Experience managing, mentoring, and growing a team of engineers.

## Preferred Experience

- Distributed Storage: Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
- Data Integration: Experience with data integration technologies like Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and Informatica Intelligent Cloud Services (IICS).
- Software Development Lifecycle: Comprehensive experience with the complete SDLC, including design, documentation, implementation, testing, and deployment.
- Automated Pipelines: Expertise in automated data transformation and curation using tools like dbt, Spark, Spark Streaming, and automated pipelines.
- Workflow Management: Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi.
- Domain Knowledge: Background working in the Financial Services industry, preferably in a banking environment.
- Regulatory Compliance: Understanding of industry compliance requirements and standards, specifically in banking IT landscapes.
- Certifications (at least 2 of the following): Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, Professional ML Engineer.
- Location: residing in Pacific Time or on the West Coast are strongly preferred.

Education:

- Degree: 4-year Bachelor's degree in Computer Science or a related field.

## Benefits

- Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
- Paid Time Off : Start your career at SunnyData with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
- An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.

## Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Our Commitment to Diversity and Inclusion: SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.

Why Join SunnyData?

- Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
- Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

## About SunnyData

## Company Overview
- **One-liner**: SunnyData is a premier Databricks systems integrator that specializes in data engineering, migrations, AI/ML, and data governance for regulated industries.
- **Entity Type**: Private (funding not publicly disclosed)
- **Headquarters**: Minneapolis, Minnesota, United States
- **Founded**: Not publicly available
- **Founders**: Allen Becker, Kai Thapa, Santiago Carrera, Jeronimo Acosta, Brock Noland

## Core Business
- **Primary industries**: IT Services and IT Consulting; focused exclusively on the Databricks Lakehouse Platform
- **Target customers**: B2B enterprise – Financial Services, Healthcare & Life Sciences, Retail, and other regulated, data-intensive sectors
- **Mission or purpose**: Build rock-solid data engineering foundations to turn AI aspirations into measurable, trustworthy outcomes; bridge the gap between proof-of-concept and production impact

## Products & Services
- **[Data Engineering](https://www.sunnydata.ai/)**: Robust pipelines and data architecture enabling AI, BI, and analytics initiatives with faster, fewer failures and measurable ROI.
- **[Migrations to Databricks](https://www.sunnydata.ai/)**: Zero-disruption migration services designed to go live fast and stay live longer, with architecture that opens doors for future use cases.
- **[Data & AI Governance](https://www.sunnydata.ai/)**: Governance built on Databricks Unity Catalog, delivering audit-ready compliance and unified governance across data and AI assets.
- **[AI & Data Science](https://www.sunnydata.ai/)**: Moving AI initiatives from pilot to production, enabling faster decisions backed by trustworthy models.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: 110 employees (as of mid-2026), with 329.4% year-over-year headcount growth; 9,330 LinkedIn followers (+97.2% yearly)
- **Notable Investors/Partners**: Pure-play Databricks partner; technology ecosystem includes Fivetran, Prophecy, Montecarlo, and Sigma
- **Growth Signals**: Rapid expansion across 6 countries (Uruguay, Argentina, Mexico, Nepal, India, USA); 23 active job postings; 75% improvement in time to value for clients; delivery 25% faster than average Databricks partner

## Competitive Advantages
- **Pure‑play focus on Databricks** – deeper expertise than generalist consultancies, with Databricks‑certified engineers and a Databricks MVP on staff
- **Senior‑heavy teams** – experienced practitioners do the hands‑on work, no junior generalists
- **Deep industry knowledge** – regulatory and compliance expertise in financial services, healthcare, and retail
- **Nearshore delivery model** – primary delivery from Uruguay (within 3 hours of all U.S. time zones, top‑tier data talent)

## Strategic Focus
- Deepen Databricks mastery and expand AI/ML production deployment capabilities
- Continue to scale nearshore talent in Latin America while serving U.S. clients
- Further embed governance and compliance into every engagement to accelerate AI adoption in regulated industries

## Why Work Here
- **Culture**: Engineer‑led environment where senior practitioners solve real‑world challenges; values include technical excellence, ownership, and continuous learning
- **Work model**: Remote or hybrid options available; offices in Minneapolis (HQ) and Montevideo, Uruguay
- **Perks & growth**: Fast‑growing company (329% YoY) with exposure to cutting‑edge Databricks and AI stacks; opportunities to work with Fortune 500 clients and shape the data strategy of regulated enterprises
- **Tech stack**: Databricks, Fivetran, Prophecy, Montecarlo, Sigma – a modern, cloud‑native toolchain

## Sources
1. [sunnydata.ai](https://www.sunnydata.ai/)
2. [sunnydata.ai/our-story](https://www.sunnydata.ai/our-story)
3. [sunnydata.ai/careers](https://www.sunnydata.ai/careers)
4. [linkedin.com/company/sunnydata](https://www.linkedin.com/company/sunnydata)
5. [builtin.com/company/sunnydata](https://builtin.com/company/sunnydata)

## Other roles at SunnyData

- [Lead Tech Recruiter (LATAM)](https://feeny.ai/job/lead-tech-recruiter-latam-sunnydata-latin-america-argentina-uruguay-brzk2zbetgms) — Latin America / Argentina / Uruguay
- [Analytics (BI) Engineer](https://feeny.ai/job/analytics-bi-engineer-sunnydata-uruguay-g4jpa239fy4c) — Uruguay
- [Analytics (BI) Engineer](https://feeny.ai/job/analytics-bi-engineer-sunnydata-argentina-fpwmjrygrs2t) — Argentina
- [Data Solutions Architect (Financial Services)](https://feeny.ai/job/data-solutions-architect-financial-services-sunnydata-united-states-8kv33v29fgxk) — United States
- [Client Principal (Financial Services)](https://feeny.ai/job/client-principal-financial-services-sunnydata-united-states-64tfzbfjq1yf) — United States
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-sunnydata-argentina-1a6h55kxcgxz) — Argentina
- [Technical Project Manager](https://feeny.ai/job/technical-project-manager-sunnydata-argentina-8s0w17wq2bsb) — Argentina
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- [Sr Data Engineer | Databricks Experience](https://feeny.ai/job/sr-data-engineer-databricks-experience-sunnydata-mexico-t6tsae1drcpa) — Mexico