Application Data Architect - Data Streaming

Role Overview
We 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.

• Bachelor’s degree in Computer Science, Information Technology, or related field

• 10+ 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.

• BIAN 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