Data Marketplace Technical Lead

Required Skills & Experience

• 7+ years of experience designing and delivering enterprise-grade solutions in cloud-based environments.
• 3+ years of hands-on Informatica experience, with strong expertise in Informatica Data Marketplace, Cloud Application Integration (CAI), and Informatica Integration/Secure Agents.
• Hands-on experience creating and publishing data products, including implementing security, access controls, and governance policies around those products.
• Strong experience with automation and systems integration, including APIs, workflow orchestration, and event-driven architectures.
• 3+ years of AWS or Azure experience, designing and integrating data and platform services across cloud-native or hybrid environments.
• Deep understanding of enterprise data management and governance, including metadata, lineage, access controls, data contracts, and policy-driven automation. Proven ability to take solutions from architecture and prototype through production in complex enterprise environments.

Nice to Have Skills & Experience

• Familiarity with Atacama and Denodo.
• Experience integrating analytics platforms, semantic layers, or AI/ML workflows with enterprise data platforms.
• Prior experience in a Solutions Engineer, Platform Architect, or Technical Lead role.

Job Description

Insight Global is hiring a Data Marketplace Technical lead for Prudential's CDAIO organization. This role requires strong experience with the Informatica platform, along with deep expertise in automation and systems integration to design, architect, and deliver end-to-end solutions that enable an enterprise data marketplace and broader data platform capabilities. This is a hands-on role requiring the ability to architect solutions both within Informatica, including metadata management, data cataloging, integration, governance, data quality, and automation capabilities, and across the broader technology ecosystem, integrating with cloud platforms, data engineering environments, analytics tools, and AI-enabled services. The ideal candidate will bring broad technical depth, strong architectural judgment, and a passion for building automated, scalable, and resilient integrations. You will partner closely with product managers, platform teams, data engineers, security and governance teams, and business stakeholders to evolve the enterprise data marketplace and supporting data services.