Senior IT Manager (Enterprise Data Architect & Integration Lead) (cpa firm) - Hybrid

• 10+ years of experience in data architecture, software development, or system integration, including leadership experience
• Proven experience designing and implementing enterprise data architectures and integration solutions
• Strong experience with data modeling, database design, and data pipeline architecture
• Experience with ETL/ELT tools and modern data platforms (e.g., Databricks, Snowflake, Microsoft Fabric)
• Hands-on experience with API design and integration technologies (REST, GraphQL, SOAP, Webhooks)
• Strong knowledge of software development best practices and SDLC frameworks
• Experience with development tools and CI/CD pipelines (e.g., GitHub, automated testing frameworks)
• Proficiency in technologies such as Power Apps, Power Automate, PowerShell, Python, JSON, Node.js
• Familiarity with cloud platforms (Azure, AWS, or Google Cloud)
• Understanding of data governance, security, and compliance best practices
• Experience with Azure Logic Apps and Microsoft Fabric
• Experience implementing data governance frameworks or tools (e.g., cataloging, lineage, quality monitoring)
• Exposure to modern data architectures (data lakehouse, data mesh, event-driven systems)
• Relevant certifications in cloud platforms, data architecture, or software development
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Data & Integration Architecture

• 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
• Design and oversee data pipelines, ETL/ELT processes, and real-time data integrations
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Integration & Automation Strategy

• Define and lead the enterprise integration strategy, including APIs, workflows, and system connectivity
• Design and oversee API architectures and integration patterns (REST, GraphQL, event-driven, etc.)
• Guide the development of automation solutions and workflows to streamline business processes
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Software Development & SDLC Ownership

• Own and evolve the firm-wide Software Development Lifecycle (SDLC) to ensure consistency, quality, and scalability
• Ensure adoption of development standards including code quality, testing, documentation, and deployment practices
• Define and maintain the development toolchain and platforms (e.g., GitHub, CI/CD pipelines, environments)