Senior Databricks Resident Solutions ArchitectLocation US RemoteContract Principal US Citizens / GC onlyJob DescriptionWeareseekinga Senior Databricks Resident Solutions Architecttojoinourteam. Inthisrole,youwillprovideexpert-levelsolutionstoourenterpriseclients. Asan RSA,youwillworkdirectlywithclientstodesign,architect,andimplementscalabledatasolutionsonthe Databricksplatform. Thisisahighimpacttechnicalleadershippositionthatrequiresdeepexpertiseindataengineering,cloudarchitectures,and Apache Sparkinternals. Youwillmanagecomplexclientengagements,leadlarge-scaleprojects.Youwilldesignanddeployproduction-gradeendtoenddataarchitecturesusing Databricks Lakehouse,leveragingadvancedconceptssuchas Genie Spaces, Agents,and Genie Code.Youwillleadenterprisescaleprojectsfrominitialdiscoverythroughsuccessfuldelivery,managingmultipletechnicalandbusinessstakeholders.Yourexpertisein Apache Sparkanddistributedcomputingwillbecriticalasyouarchitectcomplexdatasystemsthatprocesslargevolumesofdataefficiently.Youwillprovidestrategictechnicalguidanceonclouddatastrategiesacross AWS,
Azure,and GCP,helpingclientsmakeinformeddecisionsabouttheirdatainfrastructureinvestments.Inaddition,youwilldevelopcomprehensivetechnicaldocumentationandarchitecturediagramstocommunicatecomplexsolutionstostakeholdersatalllevels.Youwillbuildandmaintainstrongclientrelationships,servingastheprimarytechnicalpointofcontactforassignedaccounts.Youwilldesignandimplement CI/CDpipelinesanddeploymentstrategiesforproductiondataenvironments.Youwillmentorjuniorteammembersandcontributetothesuccessofbroaderinitiativeswithintheorganization.Skills12 + years of experience in data Architecture, engineering, data platforms & analytics.Comfortable writing code in either Python or Scala.Extensive Working knowledge of Databricks is required.Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code.Experience handling or leading large-scale projects/customers.Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.Deep experience with distributed computing with Apache Spark and knowledge of Apache Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsCapable of design and deployment of highly performant end-to-end data architecturesExperience with technical project delivery – managing scope and timelinesDocumentation and white-boarding skillsExperience working with clients and managing conflictsExperience in building scalable streaming and batch solutions using cloud-native componentsPreferred SkillsDatabricks Certified Data Engineer Qualified Certification.Experience working on high demanding projects and handling large clients.Prior experience working in the Databricks Partner Program#J-18808-Ljbffr