Senior Principal Software Architect, DataEdge Strategy & Architecture

Essential Duties and Responsibilities

• Partner with Product Management to define the DataEdge platform strategy and translate business priorities into a shared, cross-product technical roadmap.
• Build alignment across Product and Engineering teams, balancing product needs with portfolio-wide platform objectives.
• Collaborate with architects across DataEdge, other Rocket portfolios, and business units to identify shared platform opportunities, promote consistency, and drive alignment on strategic architectural decisions.
• Drive reusable services, APIs, frameworks, and common platform capabilities while consolidating overlapping technologies.
• Define cloud-native strategies for deployment, configuration, scalability, observability, security, and operational excellence.
• Lead the adoption and integration of AI platform capabilities, intelligent automation, MCP, and agentic systems across the DataEdge portfolio.
• Partner with Product teams to identify and prioritize AI capabilities that create measurable customer value and competitive differentiation.
• Represent the DataEdge technology vision internally and externally. Maintain awareness of industry trends, analyst perspectives, emerging technologies, and competitive offerings to help shape portfolio strategy and investment priorities.
• Shape how DataEdge fits within the broader data, analytics, and AI ecosystem, collaborating across Rocket portfolios and external technology partners to deliver integrated platform capabilities and differentiated customer outcomes.
• Promote adoption of industry standards, open APIs, and interoperability frameworks to ensure DataEdge integrates effectively across diverse customer environments and technology ecosystems.
• Coach teams on AI-enabled development, including AI-assisted coding, testing, documentation, modernization, and delivery.
• Lead architecture reviews, communicate decisions and tradeoffs, and mentor senior technical talent across the portfolio.

Required Qualifications

• Minimum 10 years of software engineering experience
• Proven experience defining architecture and technology strategy across multiple enterprise products or platforms.
• Strong expertise in LLMs, agentic systems, MCP, retrieval architectures, enterprise AI integration, and responsible AI patterns.
• Demonstrated delivery of AI-enabled product capabilities and adoption of AI-enabled engineering practices.
• Deep expertise in cloud-native architecture, containers, Kubernetes, distributed systems, and modern software delivery.
• Experience building shared platforms, services, APIs, or reusable frameworks and leading technology consolidation.
• Successful partnership with Product Management on strategy, roadmaps, prioritization, and investment decisions.
• Proven ability to lead cross-product initiatives, resolve competing priorities, and influence without direct authority.
• Exceptional communication and facilitation skills, including with executive leaders; experience mentoring senior engineers or architects.

Education

Travel Requirements

• 5%-10% minimal travel

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