Senior Data Architect, Enterprise

National firm searching for an experienced Enterprise Data Architect Integration Lead, to own and drive the data architecture strategy, while leading development and integration practices. This will combine, hands-on architecture with team leadership, serving as a key bridge between data strategy, application development, and enterprise integration.-The successful candidate will act as a player-coach, guiding a distributed team of developers while defining and implementing scalable, secure, and governed data and integration solutions. -This is a high-impact role responsible for shaping the firm’s data and integration landscape. Location: Most major East Coast cities, USA - hybrid in office/work from home balance Key Responsibilities;Data Integration Architecture. to own and drive the firm’s enterprise data architecture strategy, including data modeling, data flows, and platform design. Define and implement a data architecture roadmap aligned with business goals and system integration needs'Establish standards for data modeling, data storage, and data lifecycle management-Define and lead enterprise integration strategy; APIs, workflows, and system connectivity-Design and oversee API architectures and integration patterns (REST, GraphQL, event-driven.)Guide development of automation solutions and workflows to streamline business processesOwn and evolve Software Development Lifecycle to ensure consistency, quality, and scalability Ensure adoption of development standards including code quality, testing, documentation, and deployment practicesLead and mentor a team of early-career developers focused on automation and integrationProvide coaching, career development, and technical guidance to grow team capabilitiesFoster a collaborative, high-performing, and accountable team culture10+ years in data architecture, software development/system integration, include leadership History of design /implementation in enterprise data architectures and integration solutionsStrong experience with data modeling, database design, and data pipeline architectureWork w/ ETL/ELT tools, modern data platforms (e.g., Databricks, Snowflake, Microsoft Fabric)Hands-on API design and integration technologies (REST, GraphQL, SOAP, Webhooks)Strong knowledge of software development best practices and SDLC frameworksWorked with development tools and CI/CD pipelines GitHub, automated testing frameworks)Proficiency in technologies; Power Apps, Power Automate, PowerShell, Python, JSON, Node.jsBachelor’s or Master’s degree in Computer Science, Information Technology, or a related field