With a strong Data Engineering backbone, we deliver Databricks projects from concept to production.

Data Solutions Architect – Financial Services

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 51-200Company Site LinkedIn

Location

United States

Posted

16 days ago

Salary

Not specified

Bachelor Degree7 yrs expEnglishAWSAzureCloudETLGoogle Cloud PlatformHadoopJavaKafkaPandasPythonScalaScikit LearnSparkSQL

Job Description

• 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.

Job Requirements

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.

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 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.