{"schemaVersion":"jobsearcher.job.v1","id":"be0a4177a15a2505b7481c53","url":"https://jobsearcher.com/jobs/be0a4177a15a2505b7481c53","canonicalUrl":"https://jobsearcher.com/jobs/be0a4177a15a2505b7481c53","title":"Data Program Architect","description":"Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.\n\nAscensus does not provide visa sponsorship now or in the future and does not hire candidates working under OPT .\n\nThe Data Program Architect is responsible for defining and driving the architecture vision, strategy, and execution of the enterprise data platform for the Ascensus Government Savings division. This role owns critical architectural decisions across data storage, integration, access patterns, and tooling, and plays a central role in shaping the data platform roadmap in collaboration with product, business, and technology leaders.\n\nThis is a highly visible leadership position that requires strategic thinking, strong technical judgment, and proactive engagement across the organization. Success in this role depends on the ability to clearly communicate complex data concepts, build trusted relationships, and influence outcomes that align technology with business goals.\n\nSection 1: Position Summary\n\nThe Data Program Architect brings a deep understanding of core business domains and data flows, paired with broad technical expertise across Oracle databases, Azure-based data warehouses, ETL and integration platforms, and secure data access patterns. This role ensures the data platform delivers scalable, compliant, and high-quality data in support of critical product initiatives, analytics, and operational needs.\n\nActing as a senior architectural leader, the Data Program Architect collaborates closely with scrum teams, enterprise architects, security, infrastructure, and operations partners to research, design, socialize, and review data solutions. The role establishes reference architectures and best practices, assesses platform health and technical debt, and guides effective, standards-aligned execution across teams.\n\nSection 2: Job Functions, Essential Duties, and Responsibilities\n\nDefine and own the end-to-end data platform architecture for Ascensus Government Savings, including vision, strategy, standards, and execution across operational, analytical, and integration layers, ensuring scalability, regulatory compliance, and secure data access.\n\nLead architectural design for enterprise data systems, including Oracle-based transactional platforms, Azure-based data warehouses, and downstream analytics and reporting solutions; guide logical and physical database designs to support performance, resiliency, and extensibility.\n\nOwn data platform tool and technology selection, including data warehouses, ETL and integration tools (e.g., Informatica), orchestration frameworks, and data access methods; conduct due diligence, assess vendor and cost tradeoffs, and ensure alignment with enterprise and cloud strategies.\n\nDefine and govern secure, consistent, and performant data access patterns and APIs, including MCP- or server-based designs, supporting internal applications, analytics users, and approved external consumers.\n\nProvide architectural oversight and execution guidance to data and delivery teams, translating high-level architecture into actionable designs and partnering with engineers to balance standards compliance with timely delivery.\n\nPartner with product, business, and technology leadership to shape the data platform roadmap, ensuring architectural decisions directly support business outcomes, regulatory requirements, analytics needs, and future growth.\n\nEstablish and maintain reference architectures and design standards for data ingestion, transformation, storage, access, and governance, enabling reuse, consistency, and reduced technical debt.\n\nOversee the overall health of the data platform portfolio, including scalability, performance, stability, cost efficiency, risk exposure, and technical debt; collaborate with stakeholders to prioritize remediation and investment initiatives.\n\nPromote collaboration and architectural transparency across engineering, security, infrastructure, database, risk, support, and operations teams; serve as a trusted enterprise-level architectural advisor.\n\nDrive innovation and continuous improvement in data architecture, tooling, and processes by evaluating emerging technologies and patterns relevant to fintech and cloud-native data platforms.\n\nProvide hands-on technical leadership and mentorship, guiding engineers and architects on best practices in data modeling, ETL design, cloud data patterns, and secure data access.\n\nEnsure data security, privacy, and compliance by design, working closely with security and risk teams to prevent unauthorized access, improper transmission, or unapproved disclosure of regulated data.\n\nExercise broad technical autonomy and judgment, making architecture and design decisions with significant business impact while aligning to enterprise principles and governance.\n\nSection 3: Experience, Skills, and Knowledge Requirements\n\n15+ years of experience in Information Technology, with significant experience in data architecture and enterprise data platform design; experience in financial services or fintech environments strongly preferred.\n\nDeep expertise in enterprise data architecture, including transactional and analytical platforms that support scale, regulatory compliance, and governed data access.\n\nStrong background in data engineering and platform design, with hands-on experience architecting and guiding implementations across ingestion, transformation, storage, and access layers; ability to contribute to proofs of concept as needed.\n\nExtensive experience with Oracle databases, including data modeling and performance considerations for operational systems.\n\nProven experience designing Azure-based data warehouse solutions, including modern cloud architectures, performance tuning, cost optimization, and analytics integration.\n\nHands-on experience with ETL and data integration architectures, including significant experience with Informatica or similar tools; strong understanding of batch and near-real-time data movement, orchestration, and data quality patterns.\n\nExperience defining and governing data access methods, including server-based designs (e.g., MCP or similar patterns), ensuring secure and consistent access across applications and consumers.\n\nAbility to develop a deep understanding of business capabilities and data domains and partner effectively with product, analytics, risk, and business leaders to align data architecture with strategy.\n\nStrategic mindset paired with strong execution skills; ability to balance long-term architectural vision with near-term delivery needs.\n\nStrong leadership and influence skills, with the ability to build trust, mentor engineers and architects, and drive alignment across cross-functional teams without direct authority.\n\nExcellent communication and executive-level presentation skills, including the ability to clearly explain complex technical concepts to non-technical audiences.\n\nExperience with distributed systems and integration patterns, including service-oriented architectures, event-driven platforms, and data-driven microservice ecosystems.\n\nStrong understanding of data security, privacy, and compliance, including authentication, authorization, and secure handling of sensitive and regulated data.\n\nInnovation-oriented mindset, comfortable challenging existing approaches and introducing new architectural patterns, tools, and practices.\n\nDemonstrated passion for continuous learning and staying current with emerging trends in cloud data platforms, analytics, integration, and data architecture.\n\nThe national average salary range for this role is 180-220k in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits .\n\nWe are proud to be an Equal Opportunity Employer\n\nBe aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.","company":"Ascensus","rawCompany":"ascensus","city":"Needham","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-09-12T09:21:26.941Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Program Architect","description":"Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.\n\nAscensus does not provide visa sponsorship now or in the future and does not hire candidates working under OPT .\n\nThe Data Program Architect is responsible for defining and driving the architecture vision, strategy, and execution of the enterprise data platform for the Ascensus Government Savings division. This role owns critical architectural decisions across data storage, integration, access patterns, and tooling, and plays a central role in shaping the data platform roadmap in collaboration with product, business, and technology leaders.\n\nThis is a highly visible leadership position that requires strategic thinking, strong technical judgment, and proactive engagement across the organization. Success in this role depends on the ability to clearly communicate complex data concepts, build trusted relationships, and influence outcomes that align technology with business goals.\n\nSection 1: Position Summary\n\nThe Data Program Architect brings a deep understanding of core business domains and data flows, paired with broad technical expertise across Oracle databases, Azure-based data warehouses, ETL and integration platforms, and secure data access patterns. This role ensures the data platform delivers scalable, compliant, and high-quality data in support of critical product initiatives, analytics, and operational needs.\n\nActing as a senior architectural leader, the Data Program Architect collaborates closely with scrum teams, enterprise architects, security, infrastructure, and operations partners to research, design, socialize, and review data solutions. The role establishes reference architectures and best practices, assesses platform health and technical debt, and guides effective, standards-aligned execution across teams.\n\nSection 2: Job Functions, Essential Duties, and Responsibilities\n\nDefine and own the end-to-end data platform architecture for Ascensus Government Savings, including vision, strategy, standards, and execution across operational, analytical, and integration layers, ensuring scalability, regulatory compliance, and secure data access.\n\nLead architectural design for enterprise data systems, including Oracle-based transactional platforms, Azure-based data warehouses, and downstream analytics and reporting solutions; guide logical and physical database designs to support performance, resiliency, and extensibility.\n\nOwn data platform tool and technology selection, including data warehouses, ETL and integration tools (e.g., Informatica), orchestration frameworks, and data access methods; conduct due diligence, assess vendor and cost tradeoffs, and ensure alignment with enterprise and cloud strategies.\n\nDefine and govern secure, consistent, and performant data access patterns and APIs, including MCP- or server-based designs, supporting internal applications, analytics users, and approved external consumers.\n\nProvide architectural oversight and execution guidance to data and delivery teams, translating high-level architecture into actionable designs and partnering with engineers to balance standards compliance with timely delivery.\n\nPartner with product, business, and technology leadership to shape the data platform roadmap, ensuring architectural decisions directly support business outcomes, regulatory requirements, analytics needs, and future growth.\n\nEstablish and maintain reference architectures and design standards for data ingestion, transformation, storage, access, and governance, enabling reuse, consistency, and reduced technical debt.\n\nOversee the overall health of the data platform portfolio, including scalability, performance, stability, cost efficiency, risk exposure, and technical debt; collaborate with stakeholders to prioritize remediation and investment initiatives.\n\nPromote collaboration and architectural transparency across engineering, security, infrastructure, database, risk, support, and operations teams; serve as a trusted enterprise-level architectural advisor.\n\nDrive innovation and continuous improvement in data architecture, tooling, and processes by evaluating emerging technologies and patterns relevant to fintech and cloud-native data platforms.\n\nProvide hands-on technical leadership and mentorship, guiding engineers and architects on best practices in data modeling, ETL design, cloud data patterns, and secure data access.\n\nEnsure data security, privacy, and compliance by design, working closely with security and risk teams to prevent unauthorized access, improper transmission, or unapproved disclosure of regulated data.\n\nExercise broad technical autonomy and judgment, making architecture and design decisions with significant business impact while aligning to enterprise principles and governance.\n\nSection 3: Experience, Skills, and Knowledge Requirements\n\n15+ years of experience in Information Technology, with significant experience in data architecture and enterprise data platform design; experience in financial services or fintech environments strongly preferred.\n\nDeep expertise in enterprise data architecture, including transactional and analytical platforms that support scale, regulatory compliance, and governed data access.\n\nStrong background in data engineering and platform design, with hands-on experience architecting and guiding implementations across ingestion, transformation, storage, and access layers; ability to contribute to proofs of concept as needed.\n\nExtensive experience with Oracle databases, including data modeling and performance considerations for operational systems.\n\nProven experience designing Azure-based data warehouse solutions, including modern cloud architectures, performance tuning, cost optimization, and analytics integration.\n\nHands-on experience with ETL and data integration architectures, including significant experience with Informatica or similar tools; strong understanding of batch and near-real-time data movement, orchestration, and data quality patterns.\n\nExperience defining and governing data access methods, including server-based designs (e.g., MCP or similar patterns), ensuring secure and consistent access across applications and consumers.\n\nAbility to develop a deep understanding of business capabilities and data domains and partner effectively with product, analytics, risk, and business leaders to align data architecture with strategy.\n\nStrategic mindset paired with strong execution skills; ability to balance long-term architectural vision with near-term delivery needs.\n\nStrong leadership and influence skills, with the ability to build trust, mentor engineers and architects, and drive alignment across cross-functional teams without direct authority.\n\nExcellent communication and executive-level presentation skills, including the ability to clearly explain complex technical concepts to non-technical audiences.\n\nExperience with distributed systems and integration patterns, including service-oriented architectures, event-driven platforms, and data-driven microservice ecosystems.\n\nStrong understanding of data security, privacy, and compliance, including authentication, authorization, and secure handling of sensitive and regulated data.\n\nInnovation-oriented mindset, comfortable challenging existing approaches and introducing new architectural patterns, tools, and practices.\n\nDemonstrated passion for continuous learning and staying current with emerging trends in cloud data platforms, analytics, integration, and data architecture.\n\nThe national average salary range for this role is 180-220k in base pay, exclusive of any bonuses and benefits. This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits .\n\nWe are proud to be an Equal Opportunity Employer\n\nBe aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.","datePosted":"2026-09-12T09:21:26.941Z","dateModified":"2026-09-12T09:21:26.941Z","hiringOrganization":{"@type":"Organization","name":"Ascensus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Needham","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"be0a4177a15a2505b7481c53"},"url":"https://jobsearcher.com/jobs/be0a4177a15a2505b7481c53"}}