Data Solutions Architect (Financial Services)

We create the foundations for the AI future

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

Databricks and the modern data stack

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

The values driving us

Find a way

We focus on solutions, meeting challenges with grit and creativity.

Move with purpose

We act with urgency, stay focused on impact, and adapt quickly.

Own the outcome

We own both wins and misses, and treat every outcome as ours to shape.

Earn Trust

We show up with sincerity and integrity, communicating with respect and keeping our promises.

Win as One

We achieve success by actively sharing knowledge, collaborating openly, and lifting each other up.

JOIN US

Data Solutions Architect (Financial Services)

Location

United States

Employment Type

Full time

Location Type

Remote

Department

Delivery

At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. As a Solutions Architect, you will be instrumental in driving customer success, both in terms of technical execution and pre-sales support.

The Impact You Will Have

Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity.

Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives.

Pre-Sales Support: Collaborate 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 of solutions and tracking progress to report outcomes.

Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality.

Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes.

Cross-Functional Collaboration and Leadership : Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments.

Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections.

Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

Required Experience

Experience: 7+ years as a hands‑on Solutions Architect and/or Sr. Data Engineer designing and more recent experience implementing data solutions with a focus on DataBricks.

Technical Proficiency: Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit‑learn).

Architecture and leadership skills: In‑depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques; Ability to lead complex architecture requirements(discovery), solution design sessions and build out implementation architecture blueprints that can be implemented by data‑engineering and analytics teams.

Programming Skills: Proficiency in Java, Python, and/or Scala.

Cloud Platforms: AWS, Azure, and/or GCP.

SQL Expertise: Ability to write, debug, and optimize SQL queries.

Client‑Facing Skills: Strong written and verbal communication skills with experience in client‑facing roles.

Presentation Skills: Ability to create and deliver detailed presentations to clients and stakeholders.

Documentation: Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.

Team Leadership: Experience leading teams and mentoring other engineers.

End‑to‑End Solutions: Ability to develop end‑to‑end technical solutions into production, ensuring performance, security, scalability, and robust data integration.

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 DataFactory, and Informatica Intelligent Cloud Services (IICS).

Software Development Lifecycle: Comprehensive experience with the complete software development lifecycle 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 : Understand 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

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 15 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.

Some of our benefits

Here's what you can count on as part of the team.

Remote first.

We meet our talent where they are. Work from anywhere, no relocation required.

Room to grow.

Mentorship from senior leaders, and real growth opportunities as we keep expanding.

Real learning.

Time and support to go deeper on the tools and problems you actually care about.

Horizontal by design, so hierarchy doesn't get in the way of being heard.

Specifics like healthcare, PTO, and other country‑level details vary by location. We'll walk you through these additional benefits as you move through the process.

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.