Senior Databricks Resident Solutions Architect

Senior Databricks Resident Solutions ArchitectLocation US Remote
Contract Principal US Citizens / GC only
Job DescriptionWeareseekingaSeniorDatabricksResidentSolutionsArchitecttojoinourteam.Inthisrole,youwillprovideexpert-levelsolutionstoourenterpriseclients.AsanRSA,youwillworkdirectlywithclientstodesign,architect,andimplementscalabledatasolutionsontheDatabricksplatform.Thisisahighimpacttechnicalleadershippositionthatrequiresdeepexpertiseindataengineering,cloudarchitectures,andApacheSparkinternals.Youwillmanagecomplexclientengagements,leadlarge-scaleprojects.
Youwilldesignanddeployproduction-gradeendtoenddataarchitecturesusingDatabricksLakehouse,leveragingadvancedconceptssuchasGenieSpaces,Agents,andGenieCode.
Youwillleadenterprisescaleprojectsfrominitialdiscoverythroughsuccessfuldelivery,managingmultipletechnicalandbusinessstakeholders.
YourexpertiseinApacheSparkanddistributedcomputingwillbecriticalasyouarchitectcomplexdatasystemsthatprocesslargevolumesofdataefficiently.
YouwillprovidestrategictechnicalguidanceonclouddatastrategiesacrossAWS,Azure,andGCP,helpingclientsmakeinformeddecisionsabouttheirdatainfrastructureinvestments.
Inaddition,youwilldevelopcomprehensivetechnicaldocumentationandarchitecturediagramstocommunicatecomplexsolutionstostakeholdersatalllevels.
Youwillbuildandmaintainstrongclientrelationships,servingastheprimarytechnicalpointofcontactforassignedaccounts.
YouwilldesignandimplementCI/CDpipelinesanddeploymentstrategiesforproductiondataenvironments.
Youwillmentorjuniorteammembersandcontributetothesuccessofbroaderinitiativeswithintheorganization.
Skills
12 + 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 internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps
Capable of design and deployment of highly performant end-to-end data architectures
Experience with technical project delivery – managing scope and timelines
Documentation and white-boarding skills
Experience working with clients and managing conflicts
Experience in building scalable streaming and batch solutions using cloud-native components
Preferred Skills
Databricks Certified Data Engineer Professional Certification.
Experience working on high demanding projects and handling large clients.
Prior experience working in the Databricks Partner Program
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