📍 US • 🏠 Remote
Solutions Architect (Financial Services)
About SunnyData
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 (specialized in the Fin. Sector), you will be instrumental in driving customer success, both in terms of technical execution and pre-sales support
The Impact You’ll Have… Through Your Responsabilities
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
What We’re Looking For
Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit-learn).
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
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) and solution design sessions, as well as build out implementation architecture blueprints that can be implemented by data engineering and analytics teams.
Programming Skills: Proficiency in Java, Python, and/or Scala
At least 2 of the following certifications: Associate Developer for Apache Spark; Data Engineern Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer
⭐️ 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
🎓 Education
Degree: 4-year Bachelor's degree in Computer Science or a related field.
☀️ 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.
✅ 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 15 days of Paid Time Off annually, plus 9 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 several 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
At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics
Cloud Platforms: AWS, Azure, and/or GCP
Strong written and verbal communication skills with experience in client-facing roles.
SQL Expertise: Ability to write, debug, and optimize SQL queries.
Ability to create and deliver detailed presentations to clients and stakeholders.
Team Leadership: Experience leading teams and mentoring other engineers.
Experience creating detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.