Principal Engineer - Data Engineering Architect

Define and advance the enterprise data information strategy and architecture across multiple domains including Risk, Finance, Audit, and Regulatory Reporting for ERAFT.

Establish common information models, data sourcing standards, semantic standards, reusable data products, and architecture patterns to enable consistent reporting, analytics, regulatory traceability, and AI use cases.

Act as an advisor to senior leadership, translating complex business, regulatory, and technology requirements into scalable data architecture solutions and govern architecture decisions and stakeholder management.

7+ years of engineering experience including data architecture, enterprise or information architecture, or data-platform design.

7+ years of experience in banking, financial services, finance, risk, audit, regulatory reporting, compliance, or control-related domains.

Experience in developing data models, metadata, data lineage, data governance, semantic modeling, data sourcing, and integration patterns.

Not explicitly mentioned: mandatory educational degrees, certifications, notice period, or strict location requirements though relevant certifications are desired.

Senior-level expert fluent in information architecture across Risk, Finance, Audit, and Regulatory domains with broad banking and financial services domain knowledge.

Experienced in strategic data architecture with demonstrated ability to define reusable information models, semantic standards, data sourcing strategies, and governance frameworks that support analytics and AI.

Skilled influencing cross-functional business and technology leadership with a consultative approach, capable of independently driving architecture decisions bridging complex regulatory and technical requirements.