{"schemaVersion":"jobsearcher.job.v1","id":"9515ff3ac7eabc6f2ee3e32b","url":"https://jobsearcher.com/jobs/9515ff3ac7eabc6f2ee3e32b","canonicalUrl":"https://jobsearcher.com/jobs/9515ff3ac7eabc6f2ee3e32b","title":"Application Data Architect - Data Streaming","description":"Role OverviewWe are seeking a senior Application Data Architect to lead the design and implementation of complex, event-driven data ecosystems within a retail banking environment. In this role, you will act as a foundational architect, defining how data flows across the enterprise—from legacy on-premise mainframes to modern, high-throughput streaming platforms. The ideal candidate is an expert in data movement and integration, with a deep specialization in Kafka and API-led connectivity. You will be responsible for ensuring that our data architecture is scalable, resilient, and compliant, serving as the bridge between business objectives and technical execution.Key Responsibilities   Streaming & Event Architecture: Own the architectural strategy for high-volume data streaming using Kafka, defining patterns for real-time ingestion, event processing, and complex data pipeline orchestration.Integration Strategy: Architect comprehensive API-led integration solutions (REST/SOAP/gRPC) that enable secure and efficient data exchange between modern cloud services and on-premise core banking platforms.Data Design & Modeling: Establish canonical data models and integration contracts that enforce data consistency across the enterprise.Governance & Lineage: Partner with data governance teams to enforce strict data quality, lineage, and PII handling standards, ensuring all streaming and integration patterns remain audit-ready.Technical Oversight: Provide architecture guidance and oversight throughout the development lifecycle, focusing on system performance, scalability, and the reduction of technical debt.Banking Domain Alignment: Design solutions that align with financial services architectural frameworks—specifically leveraging the BIAN (Banking Industry Architecture Network) reference model where applicable—to standardize service definitions and business capabilities.Stakeholder Engagement: Translate complex data architecture requirements into executive-level blueprints, acting as the subject matter expert for data streaming and API strategy. Required Qualifications/Skills Bachelor’s degree in Computer Science, Information Technology, or related field10+ years of progressive experience in enterprise data architecture or senior engineering.Deep Expertise in Kafka: Proven experience architecting complex, large-scale data streaming environments in high-concurrency settings.API Architecture: Extensive background in designing and managing API-first architectures within hybrid (cloud/on-premise) environments.Data Integration: Proficiency in designing data flows across disparate systems, including mainframes, legacy databases, and modern data platforms.Banking Domain Expertise: Solid understanding of retail banking workflows, transaction processing, and data sensitivity requirements.Architectural Communication: Ability to define and document \"big picture\" data strategies and mentor engineering teams on best practices.Preferred QualificationsBIAN Framework: Prior experience applying the BIAN architectural reference model to banking technology design is heavily preferred.Regulatory Compliance: Experience working in highly regulated environments with stringent disaster recovery and data security mandates.Cloud/Hybrid Modernization: Experience migrating legacy batch-processing systems to real-time event-driven architectures.Industry Certifications: Relevant architecture certifications (e.g., TOGAF, Confluent Certified Architect for Apache Kafka, or equivalent).Location: Pittsburgh, PA (relocation assistance is offered)About Techstra Solutions Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com","company":"Techstra Solutions","rawCompany":"techstra solutions","city":"Pittsburgh","state":"PA","isRemote":false,"isActive":true,"createdAt":"2026-06-26T12:15:52.437Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"Application Data Architect - Data Streaming","description":"Role OverviewWe are seeking a senior Application Data Architect to lead the design and implementation of complex, event-driven data ecosystems within a retail banking environment. In this role, you will act as a foundational architect, defining how data flows across the enterprise—from legacy on-premise mainframes to modern, high-throughput streaming platforms. The ideal candidate is an expert in data movement and integration, with a deep specialization in Kafka and API-led connectivity. You will be responsible for ensuring that our data architecture is scalable, resilient, and compliant, serving as the bridge between business objectives and technical execution.Key Responsibilities   Streaming & Event Architecture: Own the architectural strategy for high-volume data streaming using Kafka, defining patterns for real-time ingestion, event processing, and complex data pipeline orchestration.Integration Strategy: Architect comprehensive API-led integration solutions (REST/SOAP/gRPC) that enable secure and efficient data exchange between modern cloud services and on-premise core banking platforms.Data Design & Modeling: Establish canonical data models and integration contracts that enforce data consistency across the enterprise.Governance & Lineage: Partner with data governance teams to enforce strict data quality, lineage, and PII handling standards, ensuring all streaming and integration patterns remain audit-ready.Technical Oversight: Provide architecture guidance and oversight throughout the development lifecycle, focusing on system performance, scalability, and the reduction of technical debt.Banking Domain Alignment: Design solutions that align with financial services architectural frameworks—specifically leveraging the BIAN (Banking Industry Architecture Network) reference model where applicable—to standardize service definitions and business capabilities.Stakeholder Engagement: Translate complex data architecture requirements into executive-level blueprints, acting as the subject matter expert for data streaming and API strategy. Required Qualifications/Skills Bachelor’s degree in Computer Science, Information Technology, or related field10+ years of progressive experience in enterprise data architecture or senior engineering.Deep Expertise in Kafka: Proven experience architecting complex, large-scale data streaming environments in high-concurrency settings.API Architecture: Extensive background in designing and managing API-first architectures within hybrid (cloud/on-premise) environments.Data Integration: Proficiency in designing data flows across disparate systems, including mainframes, legacy databases, and modern data platforms.Banking Domain Expertise: Solid understanding of retail banking workflows, transaction processing, and data sensitivity requirements.Architectural Communication: Ability to define and document \"big picture\" data strategies and mentor engineering teams on best practices.Preferred QualificationsBIAN Framework: Prior experience applying the BIAN architectural reference model to banking technology design is heavily preferred.Regulatory Compliance: Experience working in highly regulated environments with stringent disaster recovery and data security mandates.Cloud/Hybrid Modernization: Experience migrating legacy batch-processing systems to real-time event-driven architectures.Industry Certifications: Relevant architecture certifications (e.g., TOGAF, Confluent Certified Architect for Apache Kafka, or equivalent).Location: Pittsburgh, PA (relocation assistance is offered)About Techstra Solutions Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com","datePosted":"2026-06-26T12:15:52.437Z","dateModified":"2026-06-26T12:15:52.437Z","hiringOrganization":{"@type":"Organization","name":"Techstra Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pittsburgh","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9515ff3ac7eabc6f2ee3e32b"},"url":"https://jobsearcher.com/jobs/9515ff3ac7eabc6f2ee3e32b"}}