{"schemaVersion":"jobsearcher.job.v1","id":"bc05e295a719360e3a76204a","url":"https://jobsearcher.com/jobs/bc05e295a719360e3a76204a","canonicalUrl":"https://jobsearcher.com/jobs/bc05e295a719360e3a76204a","title":"Technical Lead- Data","description":"Tech Lead-DataApex Systems is seeking a Data Tech Lead to work remotely in a long term contract or CTH position.Required skills:RedshiftAuroraAWS S3 (preferred)Dynamo DBPower BITalend ETLStarburstDuties and ResponsibilitiesWork with technology and business teams to execute project plans using EDP development methodologyInitiates and participates in projects to evaluate solutions and methods for implementing these plansProduces and maintains high-level designs, documented frameworks, architectures and plans how to manage the implementation and integration of a technical environmentDevelop proof of concepts using your enterprise methodology frameworks and technology evaluation principles and practicesSkillsProven and recognized technical expert in multiple areas including development of strategy for: cloud computing, high volume transaction/event processing, large scale databases, Data Dictionary, Master and Meta Data, Modeling, Schema and Semantics, and structured/ unstructured/semi-structured data processing for Cloud and on premise implementationsExperience with AWS data tools such as S3, Aurora, RedShift and servicesBig data stores such as Hadoop/Cassandra/MongoDB, and traditional data stores such as Oracle, SQL Server, Greenplum, Netezza, Teradata, and SAP BW/HANA.BI tools such as: MS PowerBI, SAP Business Objects, COGNOSDocker/microservices, SOA, Web Services, EAI, Map Reduce, Cloud Computing, and Analytics/ Reporting on Mobile devices (iOS & Android)Working knowledge of statistical analysis and related tools such as R, SAS, their fit in large scale analyticsDemonstrated ability to drive Enterprise Information Technology strategy to include: Real Time Analytics, Data Architecture and Business IntelligenceStrong background with Enterprise Data Warehouse concepts and the use of In-Memory technologies, to deliver large scale high volume event based systems such as Smart Grid both on premise, cloud based, and cloud/on premise hybrid models.","company":"Software Technology","rawCompany":"software technology","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:42:49.746Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related 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technology evaluation principles and practicesSkillsProven and recognized technical expert in multiple areas including development of strategy for: cloud computing, high volume transaction/event processing, large scale databases, Data Dictionary, Master and Meta Data, Modeling, Schema and Semantics, and structured/ unstructured/semi-structured data processing for Cloud and on premise implementationsExperience with AWS data tools such as S3, Aurora, RedShift and servicesBig data stores such as Hadoop/Cassandra/MongoDB, and traditional data stores such as Oracle, SQL Server, Greenplum, Netezza, Teradata, and SAP BW/HANA.BI tools such as: MS PowerBI, SAP Business Objects, COGNOSDocker/microservices, SOA, Web Services, EAI, Map Reduce, Cloud Computing, and Analytics/ Reporting on Mobile devices (iOS & Android)Working knowledge of statistical analysis and related tools such as R, SAS, their fit in large scale analyticsDemonstrated ability to drive Enterprise Information Technology strategy 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