Principal Solutions Architect (Financial Services)

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.

Responsibilities

• Serve as a trusted advisor to customers, guiding their data engineering and architecture strategy with a focus on Databricks solutions.
• 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.
• Partner with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
• Manage multiple customer accounts, ensuring timely delivery and clear reporting on progress and outcomes.
• Architect data solutions that incorporate best practices in governance, security, and data quality.
• Evaluate data sources for their value and recommend inclusion strategies that strengthen analytics.
• Guide internal teams, provide direction and mentorship to project teams, and educate end users on data products and analytic environments.
• Perform system analysis, diagnose data and system defects, and apply the right fix.
• Test data movement, transformation code, and data components for accuracy and reliability.
• 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.
• Experience producing detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.

Requirements

• 10+ years as a hands on Solutions Architect and/or Senior Data Engineer, with recent experience implementing data solutions on Databricks.
• Expertise in data engineering technologies (Spark, Hadoop, Kafka), the Databricks platform, and data science/ML tooling (pandas, scikitlearn).
• Proficiency in Java, Python, and/or Scala.
• AWS, Azure, and/or GCP.
• Able to write, debug, and optimize SQL queries.
• Strong written and verbal communication, with experience in client facing roles.
• Able to build and deliver detailed presentations to clients and stakeholders.
• Able to take technical solutions into production, ensuring performance, security, scalability, and robust data integration.
• Experience managing, mentoring, and growing a team of engineers.
• Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
• 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).
• Comprehensive experience with the complete SDLC, including design, documentation, implementation, testing, and deployment.
• Expertise in automated data transformation and curation using tools like dbt, Spark, Spark Streaming, and automated pipelines.
• Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi.

Certifications (at least 2 of the following)

• Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, Professional ML Engineer.
• 4-year Bachelor's degree in Computer Science or a related field.
• Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.

Preferred

• Background working in the Financial Services industry, preferably in a banking environment.
• Understanding of industry compliance requirements and standards, specifically in banking IT landscapes.
• : residing in Pacific Time or on the West Coast are strongly preferred.

Pay

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.

Benefits

• 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.
• Work with cutting-edge technologies and industry leaders in data engineering and AI.
• Make a real difference in how businesses leverage data for strategic decision-making.
• Opportunities for professional development and career advancement.
• 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.

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?