📍 US • 🏠 Remote
Senior Solutions Architect
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 Senior Solutions Architect, you will be instrumental in driving customer success, both in terms of technical execution and pre-sales support.
The Role
Split your time evenly between billable project work and pre-sales activities, serving as the technical bridge between clients' needs and SunnyData's expertise in Databricks solutions.
The Impact You'll Have
Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions.
Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives.
Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes.
Architect data solutions, incorporating best practices in data governance, security, and quality.
Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes.
Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments.
Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections.
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).
5-7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer designing and implementing data solutions with a focus on Databricks.
In-depth understanding of the end-to-end data analytics workflow using modern data engineering techniques; Ability to lead complex architecture requirements, solution design sessions, and build implementation blueprints.
At least 2 of the following: Associate Developer for Apache Spark; Data Engineer Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer.
Proficiency in Java, Python, and/or Scala.
Ability to create and deliver detailed presentations to clients and stakeholders.
Strong written and verbal communication skills with experience in client-facing roles.
Ability to write, debug, and optimize SQL queries.
AWS, Azure, and/or GCP
Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.
Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
Experience leading teams and mentoring other engineers.
✨ Nice to Have
☁️ Knowledge of public cloud platforms AWS, Azure, or GCP.
🏆 Databricks certification.
✅ 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.
💰 Salary Range
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.