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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand plus metro location but senior, specialized role reduces general applicant density.
Core data engineering skills transferable, but banking governance and VP leadership raise industry specificity.
Extensive mandatory technical, governance, and AI production experience creates stringent screening.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain advanced data engineering pipelines, focusing on automation and scalable architecture to support business and customer needs.
Apply innovative data-driven solutions including data modeling, ETL design, and streaming data ingestion aligned with the strategic data platform and streaming strategy.
Manage cost-effective data platform operations while ensuring secure and compliant handling of customer and bank data, incorporating AI agent architecture and integration within enterprise systems.
Minimum Requirements
Work Experience Required: Not explicitly mentioned in the JD, but role is at Vice President level indicating senior experience expected.
Strong expertise in AI agent architecture and engineering including components like planning loops, RAG, prompt engineering, and output validation.
Proficiency in programming languages and foundational knowledge in data and software engineering fundamentals.
Experience with cloud-native infrastructure management, MCP servers/clients, microservices, CI/CD pipelines, secure production-grade AI application deployment, and compliance mechanisms.
Ideal Candidate Profile
Senior-level data engineer with proven ability to deliver complex, cost-optimized data solutions aligned to enterprise strategic objectives and customer-focused outcomes.
Experience driving engineering excellence through technical leadership, framework development, automated testing, and governance in AI and data engineering contexts.
Comfortable engaging with diverse stakeholders to translate complex business problems into scalable, secure, and innovative data architectures and solutions.