Big Data Solutions Architect

Dice is the leading career destination for tech experts at every stage of their careers. Our client, eSolutionsFirst, LLC, is seeking the following. Apply via Dice today!As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.Key ResponsibilitiesArchitecture & Technology StrategyPerform technology and tools assessments to evaluate market trends and determine the best fit within the enterprise landscapeEvaluate architecture patterns and oversee implementation from concept to productionConduct research on emerging tools and technologies to recommend cost-effective and innovative solutionsDefine and design end-to-end data and AI architecturesData & AI Solution DeliveryDesign, develop, and implement data solutions using the Databricks platformBuild scalable data pipelines, analytics solutions, and machine learning modelsLeverage Databricks Mosaic AI capabilities for advanced analytics and GenAI use casesProductionalize customer use cases and deploy enterprise-grade solutionsClient Engagement & ConsultingWork directly with customers on short- to medium-term engagements to solve big data challengesDesign and build reference architectures and reusable frameworksGuide customers through data platform modernization, migrations, and AI transformationsCollaborate with engagement managers to scope and deliver professional services projectsProvide architectural guidance and ensure successful adoption of DatabricksSupport & Delivery ExcellenceProvide advanced troubleshooting and escalated support for customer issuesEnsure projects are delivered on time, within scope, and with high customer satisfactionMaintain a strong focus on quality, scalability, and performanceRequired Qualifications10+ years of hands-on experience in:Big Data technologiesDatabricks ecosystemMachine Learning and Generative AIStrong experience with distributed data processing (e.g., Apache Spark)Proficiency in Python, SQL, and/or ScalaExperience designing and implementing enterprise data architecturesProven ability to work in client-facing roles and deliver consulting engagements