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SunnyData is seeking a Principal Solutions Architect (Financial Services) to lead data engineering initiatives on Databricks, while actively supporting presales activities with clients across the United States. You will design and deploy end-to-end data platforms, mentor engineers, and drive architectural decisions that balance performance, security, and scale.
The role emphasizes hands-on delivery and collaboration with sales, customers, and internal teams to ensure successful outcomes in
Data and AI projects are easy to get excited about. Making them hold up in production is the hard part...
That's what we focus on: solid data engineering underneath, so the pipelines feeding AI actually work.
OUR TOOLS
We build on Databricks because it's the most complete data and AI platform out there, and it's only getting more central as AI moves faster. One platform for data engineering and AI/ML, cloud-native, scalable, and flexible enough to fit how a real business runs.
Our partners in tech
Alongside Databricks, we work with a focused set of partners: Fivetran, Prophecy, Monte Carlo, and Sigma, that plug straight into the Lakehouse and help us move fast without piling on complexity.
THE TEAM
We focus on solutions, meeting challenges with grit and creativity.
We act with urgency, stay focused on impact, and adapt quickly.
We own both wins and misses, and treat every outcome as ours to shape.
We show up with sincerity and integrity, communicating with respect and keeping our promises.
We achieve success by actively sharing knowledge, collaborating openly, and lifting each other up.
JOIN US
United States
Full time
Remote
Delivery
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
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.
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
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