Principal Engineer - Data Engineering Architect
Wells Fargo (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Define and own the enterprise data information strategy, models, sourcing standards, and enablement roadmap across multiple domains including ERAFT (Enterprise Risk, Audit, and Finance Technology).
- Establish common information models, semantic standards, authoritative-source guidance, reusable data products, and architecture patterns to enable consistent reporting, analytics, regulatory traceability, and AI use cases.
- Act as an advisor and lead strategy on complex data architecture challenges, influencing leadership and multiple business and technology teams to translate requirements into practical and scalable data architecture solutions.
Minimum Requirements
- 7+ years of engineering experience.
- 7+ years in data architecture, information architecture, enterprise architecture, information modeling, or data-platform design.
- 7+ years supporting banking, financial services, finance, risk, audit, regulatory reporting, compliance, or control-related domains.
- Strong experience with APIs, Kafka or event streaming, ETL and ELT, data virtualization, data lakes, lakehouse platforms, and enterprise data warehouses; familiarity with technologies including Dremio, Databricks, Snowflake, Spark, Python, SQL, Neo4J, Protégé, object storage, and metadata or catalog platforms.
Ideal Candidate Profile
- Senior-level enterprise data architect with broad experience spanning multiple financial domains such as Risk, Finance, Audit, Treasury, Financial Crimes, Model Risk, or regulatory reporting.
- Expert in defining and delivering data information strategies, reusable semantic data models, data sourcing patterns, and governance frameworks in complex banking or financial service environments.
- Strong integrator able to partner horizontally across technical and business leadership to drive scalable data architecture solutions supporting reporting, analytics, regulatory compliance, and AI-enabled use cases.