Senior Databricks Resident Solutions Architect

Senior Databricks Resident Solutions Architect

Location US Remote

Contract Principal US Citizens / GC only

Job Description

WeareseekingaSeniorDatabricksResidentSolutionsArchitecttojoinourteam.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