Vice President, Architecture

Oversees the design and implementation of enterprise-scale data and application architecture solutions. Architects secure, scalable, and high-performing digital experiences across hybrid mobile and web platforms. Leads the design of data integration strategy, using open-source solutions or frameworks to modernize the technology footprint. Architects and governs enterprise data integration and orchestration pipelines using open-source data flow and workflow technologies, ensuring scalable, secure, and high-performance data movement and processing across platforms. Defines data integration strategies and drives modernization of technology footprints using open-source frameworks. Manages complex software projects and initiatives within the Software Development Lifecycle (SDLC), operating in an Agile environment.

Responsibilities

Collaborates with business leaders, product teams, and architecture governance groups to ensure adherence to standards and best practices; Partners across multiple business units to deliver resilient, reusable, and extensible solutions; Ensures architectural compliance while influencing decisions and driving alignment; Designs, develops, and modifies complex and major software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design; Develops and directs software system testing and validation procedures, programming, and documentation; Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints; Modifies existing software to correct errors, adapt to new hardware, or improve performance; Collaborates with systems analysts, engineers, and other developers to design systems and obtain information on project limitations and capabilities; Participates in technology planning and budgeting processes; Communicates analytical results and architectural solutions effectively to technical and business audiences; Thrives in dynamic environments while bridging gaps between technical and business teams; Exhibits strong leadership, communication, and problem-solving skills

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Vice President, Architecture (or closely related occupation) providing enterprise architecture leadership for large-scale data platform strategy, and overseeing the design, governance, and delivery of cloud-based and on-premises data and integration architectures; OR Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Vice President, Architecture (or closely related occupation) providing enterprise architecture leadership for large-scale data platform strategy, and overseeing the design, governance, and delivery of cloud-based and on-premises data and integration architectures; Demonstrated Expertise designing and implementing enterprise-scale data architectures for batch and real-time streaming workloads using Apache Spark, Flink, and Kafka; applying cloud-native data engineering practices across AWS, GCP, and Azure; developing and governing data pipelines for ingestion, transformation, and delivery across distributed platforms; designing data models across SQL, NoSQL, and NewSQL systems; and architecting advanced analytics solutions and intelligent automation frameworks; Demonstrated Expertise architecting and governing enterprise API platforms including SOAP, REST, GraphQL, gRPC, and emerging integration standards MCP; and designing containerized application architectures using container orchestration platforms, service mesh technologies, and DevOps and GitOps practices, including implementing Continuous Integration and Continuous Delivery (CI/CD) pipelines and observability frameworks; Demonstrated Expertise developing full-stack enterprise applications and integration solutions using Java, Python, Node.js, and Go, across distributed and microservices-based architectures; architecting front-end solutions using web technologies (HTML, CSS, and JavaScript); architecting middleware and integration layers using enterprise message broker and ESB platforms; and applying service-oriented architecture, event-driven architecture, and API-first design patterns; Demonstrated Expertise designing and implementing multi-cloud and hybrid infrastructure architectures across AWS, GCP, Azure, and on-premises environments using infrastructure automation tools Terraform and Ansible; architecting scalable distributed systems with high availability, fault tolerance, and multi-region disaster recovery capabilities; and applying Site Reliability Engineering principles including capacity planning, service level management, and observability for high-throughput transactional and analytical workloads