{"schemaVersion":"jobsearcher.job.v1","id":"f7169b4ea9ec74c8591b0807","url":"https://jobsearcher.com/jobs/f7169b4ea9ec74c8591b0807","canonicalUrl":"https://jobsearcher.com/jobs/f7169b4ea9ec74c8591b0807","title":"AWS Data Architect","description":"AWS Data ArchitectFull-Time / Contract (W2 / C2C)Hybrid / Alameda, CA (3-D/week onsite)We are seeking a highly skilled AWS Data Architect with some experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and insights generation.Skills / ExperienceMinimum 10+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation6 years of hands-on experience in AWS data architecture, including Amazon S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns, SQL development and advanced data modeling3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data, ingestion and experience in CI/CDExperience with real-time streaming tools (Kafka, Kinesis); Knowledge of data governance and compliance standards; Prior experience in Client-facing rolesExperience / knowledge in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware toolsExperience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practicesJob / Role DescriptionDesign and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategyArchitect, develop, and oversee implementation of data lakes/Lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake FormationLead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimizationIntegrate and synchronize data between Salesforce and AWS data platforms; Drive modernization initiatives including migration from legacy/on-prem systems to AWS Cloud environmentsDefine and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needsEstablish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optimizationTranslate complex business requirements into scalable technical architecture and actionable data solutionsProvide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasetsDefine and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data ecosystemGuide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platformsReview solution designs and code to ensure adherence to architectural standards, scalability principles, and best practicesCollaborate with cross-functional teams to gather requirements and deliver scalable solutionsEnsure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectivelyMentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworksContinuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise data capabilitiesAbility to distil complex industry concepts into digestible insights for technical and non-technical audiences; Collaborative mindset; comfortable working across delivery, product, and sales functions; Prior experience in working on Agile/Scrum projects with exposure to tools like Jira","company":"Winwire","rawCompany":"winwire","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T18:55:46.287Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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 Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Data Architect","description":"AWS Data ArchitectFull-Time / Contract (W2 / C2C)Hybrid / Alameda, CA (3-D/week onsite)We are seeking a highly skilled AWS Data Architect with some experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and insights generation.Skills / ExperienceMinimum 10+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation6 years of hands-on experience in AWS data architecture, including Amazon S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns, SQL development and advanced data modeling3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data, ingestion and experience in CI/CDExperience with real-time streaming tools (Kafka, Kinesis); Knowledge of data governance and compliance standards; Prior experience in Client-facing rolesExperience / knowledge in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware toolsExperience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practicesJob / Role DescriptionDesign and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategyArchitect, develop, and oversee implementation of data lakes/Lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake FormationLead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimizationIntegrate and synchronize data between Salesforce and AWS data platforms; Drive modernization initiatives including migration from legacy/on-prem systems to AWS Cloud environmentsDefine and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needsEstablish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optimizationTranslate complex business requirements into scalable technical architecture and actionable data solutionsProvide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasetsDefine and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data ecosystemGuide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platformsReview solution designs and code to ensure adherence to architectural standards, scalability principles, and best practicesCollaborate with cross-functional teams to gather requirements and deliver scalable solutionsEnsure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectivelyMentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworksContinuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise data capabilitiesAbility to distil complex industry concepts into digestible insights for technical and non-technical audiences; Collaborative mindset; comfortable working across delivery, product, and sales functions; Prior experience in working on Agile/Scrum projects with exposure to tools like Jira","datePosted":"2026-04-12T18:55:46.287Z","dateModified":"2026-04-12T18:55:46.287Z","hiringOrganization":{"@type":"Organization","name":"Winwire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f7169b4ea9ec74c8591b0807"},"url":"https://jobsearcher.com/jobs/f7169b4ea9ec74c8591b0807"}}