Data Architect

Role - Data Architect

Location: West Palm Beach, FL

Who You’ll Work With: As a modern technology company, Slalom technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and impactful business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

What You’ll Do:

• Assist in designing multi-phased cloud data strategies, including developing multi-phased implementation roadmaps
• Lead the creation of technology roadmaps based on gathered and prioritized business needs
• Design and develop scalable data ingestion frameworks to transform a variety of datasets
• Serve as a subject matter expert in a cloud platform for the larger Slalom Data & Analytics practice and contribute back to global Slalom community
• Deliver on the technical scope of projects & demonstrate thought leadership at clients as well as within Slalom
• Gather technical requirements, assess client capabilities, and analyze findings to design appropriate cloud solutions and adoption strategies
• Research, analyze, recommend, and select technical approaches for solving exciting and complex development and integration problems
• Stay deeply involved in designing and deploying end-to-end solutions with cloud platform analytics services
• Conduct and lead whiteboarding sessions, workshops, and project meetings in support of data-enabled solutions

What You’ll Bring:

• Deep understanding of NoSQL databases such as Amazon DynamoDB, Cosmos DB, and MongoDB, including data modeling and consistency trade-offs.
• Experience with container management systems such as Amazon ECS to support scalable deployment of data services and microservices.
• Exposure to machine learning platforms, especially Amazon SageMaker, to support data science workflows and model deployment within the data architecture.
• Knowledge of real-time data ingestion and analytics using tools like Amazon Kinesis and Apache Kafka for building low-latency data systems.
• Proficient in designing dashboards and reports using Power BI, with an understanding of semantic modeling and performance optimization.
• Experience with modern data transformation workflows using dbt, including version control, testing, and deployment best practices.
• Familiarity with Master Data Management (MDM) solutions such as Ataccama, and data access control tools like Immuta for implementing role-based security and regulatory compliance.

About Us: Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life.

Compensation And Benefits: Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability.

EEO and Accommodations: Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process.