{"schemaVersion":"jobsearcher.job.v1","id":"3f1f7378050c41bffeab0806","url":"https://jobsearcher.com/jobs/3f1f7378050c41bffeab0806","canonicalUrl":"https://jobsearcher.com/jobs/3f1f7378050c41bffeab0806","title":"Client Partner – Cloud Data Platforms & AI","description":"Help Build the Foundation for the Next Generation of Enterprise Data & AI\nWe're looking for an experienced cloud data professional to help lead a multi-year enterprise modernization initiative that will establish a secure, governed, AI-ready data platform for a major utility organization.\nThis isn't a traditional consulting engagement.\nYou won't rotate through short-term projects or spend your time chasing billable hours.\nInstead, you'll become a trusted technical partner working alongside architects, engineers, security teams, and business leaders to build the foundation for enterprise analytics, operational intelligence, and AI.\nThis role combines hands-on engineering, platform architecture, technical leadership, and consulting.\nAbout Waterloo Data\nWaterloo Data is a boutique consulting firm specializing in modern data platforms, cloud engineering, enterprise integration, application development, and AI.\nWe help organizations modernize complex technology environments by combining deep technical expertise with practical business judgment. Our consultants work directly with executive leadership and engineering teams to deliver secure, scalable platforms that create long-term business value.\nWe believe the future of AI starts with well-governed, trusted data.\nThe Opportunity\nOur client is embarking on a large-scale technology transformation centered on Microsoft Azure and Snowflake.\nThe program will establish a modern enterprise data platform built according to industry best practices for security, governance, automation, and AI enablement. You'll help bridge existing on-premises infrastructure with Azure services and Snowflake while introducing modern engineering practices that will serve as the foundation for future business units.\nThe initial phase of the transformation focuses on a wholesale power organization, where you'll help establish engineering standards, development environments, governance processes, and cloud architecture that will be replicated across the enterprise.\nYou'll work closely with enterprise architects, infrastructure teams, cybersecurity, application developers, and business stakeholders to ensure the platform is secure, scalable, and built for long-term success.\nWhat You'll Do\nDesign and Build a Modern Enterprise Data Platform\nDesign and implement secure, scalable Snowflake architectures using industry best practices for security, governance, and performance.\nDevelop cloud-native applications and services using Python and FastAPI.\nDesign data ingestion, transformation, and orchestration pipelines that integrate on-premises systems with Azure and Snowflake.\nBuild data products that support enterprise reporting, advanced analytics, and AI use cases.\nLeverage Azure services to create secure, AI-ready cloud architectures.\nEstablish Engineering Standards\nYou'll help create the engineering operating model for a modern enterprise platform by:\nEstablishing GitHub repositories and branching strategies.\nDesigning and implementing CI/CD pipelines.\nBuilding standardized Development, QA, UAT, and Production environments.\nImplementing role-based access control (RBAC).\nDefining secure deployment and release processes.\nPromoting Infrastructure as Code and automation wherever practical.\nDeveloping reusable engineering patterns and platform standards.\nProvide Technical Leadership\nServe as a trusted technical advisor to client leadership.\nCollaborate with enterprise architects, cybersecurity teams, and infrastructure engineers.\nMentor client developers and engineers.\nConduct architecture reviews and code reviews.\nHelp establish engineering best practices across the organization.\nTranslate business objectives into practical technical solutions.\nRequired QualificationsExperience\n8+ years of professional software engineering, data engineering, or cloud platform experience.\n4+ years of enterprise technology consulting experience in a senior consulting role\n4+ years of recent, hands-on experience implementing production solutions with Snowflake.\n2+ years of recent experience with Informatica Enterprise Data Catalog (EDC) and Cloud Data Governance and Catalog (CDGC).\nStrong Python development experience, including FastAPI.\nExperience building enterprise solutions in Microsoft Azure.\nExperience integrating on-premises infrastructure with cloud services.\nExperience designing secure cloud architectures.\nExperience implementing GitHub workflows and CI/CD pipelines.\nExperience designing enterprise RBAC models.\nExperience working directly with enterprise clients or large internal stakeholders.\nPreferred Qualifications\nWe're especially interested in candidates with experience in one or more of the following:\nElectric utility or energy industry experience.\nEnterprise IT modernization programs.\nSnowflake platform administration and performance optimization.\nAzure AI Services or Azure OpenAI.\nInfrastructure as Code (Terraform, Bicep, or similar).\nEnterprise integration and API design.\nData governance and metadata management.\nDataOps and DevSecOps.\nAgile software delivery.\nTechnical Skills\nExperience across many of the following technologies is highly desirable:\nData Platform\nSnowflake\nSQL\nInformatica Enterprise Data Catalog (EDC)\nInformatica Cloud Data Governance and Catalog (CDGC)\nCloud & AI\nMicrosoft Azure\nAzure Storage\nAzure Functions\nAzure Key Vault\nAzure Entra ID\nAzure AI Services\nAzure OpenAI\nEngineering\nPython\nFastAPI\nREST APIs\nGitHub\nGitHub Actions\nCI/CD\nRBAC\nInfrastructure as Code\nDevOps\nWhat Success Looks Like\nWithin your first year, you will have:\nHelped establish a secure, enterprise-scale Snowflake platform.\nBuilt the engineering foundation for a modern Azure data ecosystem.\nImplemented governance capabilities using Informatica EDC and CDGC.\nEstablished GitHub, CI/CD pipelines, RBAC, and standardized development environments.\nEnabled the first business unit to successfully operate on the new platform.\nCreated reusable engineering standards that support future enterprise-wide adoption.\nEarned the trust of client leadership as a key technical advisor.\nWhy Waterloo Data?\nAt Waterloo Data, our consultants are trusted advisors—not just implementers.\nYou'll work on technically challenging, high-impact enterprise initiatives alongside experienced architects and engineers, with the opportunity to shape long-term platform strategy and engineering practices. You'll have the autonomy to solve meaningful problems, influence critical technology decisions, and help build AI-ready data platforms that will support enterprise operations for years to come.\nPay: From $175,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible schedule\nParental leave\nRetirement plan\nWork Location: Hybrid remote in Austin, TX 78701","company":"Waterloo Data","rawCompany":"waterloo data","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-30T11:04:05.895Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Client Partner – Cloud Data Platforms & AI","description":"Help Build the Foundation for the Next Generation of Enterprise Data & AI\nWe're looking for an experienced cloud data professional to help lead a multi-year enterprise modernization initiative that will establish a secure, governed, AI-ready data platform for a major utility organization.\nThis isn't a traditional consulting engagement.\nYou won't rotate through short-term projects or spend your time chasing billable hours.\nInstead, you'll become a trusted technical partner working alongside architects, engineers, security teams, and business leaders to build the foundation for enterprise analytics, operational intelligence, and AI.\nThis role combines hands-on engineering, platform architecture, technical leadership, and consulting.\nAbout Waterloo Data\nWaterloo Data is a boutique consulting firm specializing in modern data platforms, cloud engineering, enterprise integration, application development, and AI.\nWe help organizations modernize complex technology environments by combining deep technical expertise with practical business judgment. Our consultants work directly with executive leadership and engineering teams to deliver secure, scalable platforms that create long-term business value.\nWe believe the future of AI starts with well-governed, trusted data.\nThe Opportunity\nOur client is embarking on a large-scale technology transformation centered on Microsoft Azure and Snowflake.\nThe program will establish a modern enterprise data platform built according to industry best practices for security, governance, automation, and AI enablement. You'll help bridge existing on-premises infrastructure with Azure services and Snowflake while introducing modern engineering practices that will serve as the foundation for future business units.\nThe initial phase of the transformation focuses on a wholesale power organization, where you'll help establish engineering standards, development environments, governance processes, and cloud architecture that will be replicated across the enterprise.\nYou'll work closely with enterprise architects, infrastructure teams, cybersecurity, application developers, and business stakeholders to ensure the platform is secure, scalable, and built for long-term success.\nWhat You'll Do\nDesign and Build a Modern Enterprise Data Platform\nDesign and implement secure, scalable Snowflake architectures using industry best practices for security, governance, and performance.\nDevelop cloud-native applications and services using Python and FastAPI.\nDesign data ingestion, transformation, and orchestration pipelines that integrate on-premises systems with Azure and Snowflake.\nBuild data products that support enterprise reporting, advanced analytics, and AI use cases.\nLeverage Azure services to create secure, AI-ready cloud architectures.\nEstablish Engineering Standards\nYou'll help create the engineering operating model for a modern enterprise platform by:\nEstablishing GitHub repositories and branching strategies.\nDesigning and implementing CI/CD pipelines.\nBuilding standardized Development, QA, UAT, and Production environments.\nImplementing role-based access control (RBAC).\nDefining secure deployment and release processes.\nPromoting Infrastructure as Code and automation wherever practical.\nDeveloping reusable engineering patterns and platform standards.\nProvide Technical Leadership\nServe as a trusted technical advisor to client leadership.\nCollaborate with enterprise architects, cybersecurity teams, and infrastructure engineers.\nMentor client developers and engineers.\nConduct architecture reviews and code reviews.\nHelp establish engineering best practices across the organization.\nTranslate business objectives into practical technical solutions.\nRequired QualificationsExperience\n8+ years of professional software engineering, data engineering, or cloud platform experience.\n4+ years of enterprise technology consulting experience in a senior consulting role\n4+ years of recent, hands-on experience implementing production solutions with Snowflake.\n2+ years of recent experience with Informatica Enterprise Data Catalog (EDC) and Cloud Data Governance and Catalog (CDGC).\nStrong Python development experience, including FastAPI.\nExperience building enterprise solutions in Microsoft Azure.\nExperience integrating on-premises infrastructure with cloud services.\nExperience designing secure cloud architectures.\nExperience implementing GitHub workflows and CI/CD pipelines.\nExperience designing enterprise RBAC models.\nExperience working directly with enterprise clients or large internal stakeholders.\nPreferred Qualifications\nWe're especially interested in candidates with experience in one or more of the following:\nElectric utility or energy industry experience.\nEnterprise IT modernization programs.\nSnowflake platform administration and performance optimization.\nAzure AI Services or Azure OpenAI.\nInfrastructure as Code (Terraform, Bicep, or similar).\nEnterprise integration and API design.\nData governance and metadata management.\nDataOps and DevSecOps.\nAgile software delivery.\nTechnical Skills\nExperience across many of the following technologies is highly desirable:\nData Platform\nSnowflake\nSQL\nInformatica Enterprise Data Catalog (EDC)\nInformatica Cloud Data Governance and Catalog (CDGC)\nCloud & AI\nMicrosoft Azure\nAzure Storage\nAzure Functions\nAzure Key Vault\nAzure Entra ID\nAzure AI Services\nAzure OpenAI\nEngineering\nPython\nFastAPI\nREST APIs\nGitHub\nGitHub Actions\nCI/CD\nRBAC\nInfrastructure as Code\nDevOps\nWhat Success Looks Like\nWithin your first year, you will have:\nHelped establish a secure, enterprise-scale Snowflake platform.\nBuilt the engineering foundation for a modern Azure data ecosystem.\nImplemented governance capabilities using Informatica EDC and CDGC.\nEstablished GitHub, CI/CD pipelines, RBAC, and standardized development environments.\nEnabled the first business unit to successfully operate on the new platform.\nCreated reusable engineering standards that support future enterprise-wide adoption.\nEarned the trust of client leadership as a key technical advisor.\nWhy Waterloo Data?\nAt Waterloo Data, our consultants are trusted advisors—not just implementers.\nYou'll work on technically challenging, high-impact enterprise initiatives alongside experienced architects and engineers, with the opportunity to shape long-term platform strategy and engineering practices. You'll have the autonomy to solve meaningful problems, influence critical technology decisions, and help build AI-ready data platforms that will support enterprise operations for years to come.\nPay: From $175,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible schedule\nParental leave\nRetirement plan\nWork Location: Hybrid remote in Austin, TX 78701","datePosted":"2026-07-30T11:04:05.895Z","dateModified":"2026-07-30T11:04:05.895Z","hiringOrganization":{"@type":"Organization","name":"Waterloo Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3f1f7378050c41bffeab0806"},"url":"https://jobsearcher.com/jobs/3f1f7378050c41bffeab0806"}}