Principal Data Architect - General Bank, Commercial Bank & Digital Bank

Overview

We are seeking a highly experienced Principal Data Architect to lead the end-to-end data architecture strategy, standards, and decision-making for the bank's General Bank, Commercial Bank, and Digital Bank domains. This role will serve as the accountable Data Architecture leader within ED&A for customer, relationship, account, product, channel, transaction, lending, deposits, payments, servicing, digital engagement, and operational banking data ecosystems.

The Principal Data Architect will define target-state data architecture, integration strategies, metadata and lineage expectations, domain-aligned data product designs, and enterprise data platform adoption patterns that enable trusted, reusable, scalable, and governed data across the bank. The role requires deep banking domain experience, strong understanding of commercial and digital banking processes, and the ability to translate complex business, regulatory, risk, operational, and customer experience requirements into durable data architecture outcomes.

This leader will partner with senior business, technology, data governance, risk, compliance, product, operations, digital, and ED&A stakeholders to ensure bank data is complete, controlled, fit-for-purpose, traceable, reusable, and aligned with enterprise data strategy and modern cloud data platform capabilities.

Responsibilities

General Bank, Commercial Bank, and Digital Bank Data Architecture Leadership

• Serve as the lead Data Architect for General Bank, Commercial Bank, and Digital Bank domains, establishing the architecture vision, target-state roadmap, standards, and guardrails for domain data assets.
• Own and govern architecture decisions impacting customer, relationship, account, product, channel, transaction, lending, deposits, payments, servicing, digital engagement, and operational banking data domains.
• Internal | Enterprise Data & Analytics
• Define reusable architecture patterns, canonical integration approaches, domain data product standards, metadata expectations, and consumption patterns for enterprise use.
• Partner with business executives and domain leaders to translate growth strategies, customer experience priorities, operational needs, risk expectations, and regulatory obligations into scalable data architecture solutions.
• Participate in portfolio planning, solution design reviews, and architecture forums to ensure domain initiatives align with ED&A architecture strategy and enterprise data platform direction.

Banking Domain Data Architecture

• Lead architecture design for banking data ecosystems supporting customer 360, relationship management, onboarding, account servicing, product analytics, deposits, lending, payments, digital journeys, and operational analytics.
• Ensure domain data architectures support completeness, accuracy, timeliness, traceability, privacy, security, access controls, and business interpretability.
• Define source-to-consumption lineage patterns from core banking, loan origination, deposit, CRM, digital, payments, operations, and servicing platforms through enterprise data platforms and analytics products.
• Govern architecture patterns supporting commercial portfolio insights, banker productivity, relationship profitability, customer engagement, product performance, operational efficiency, and executive reporting.
• Drive consistency in critical banking data elements, reference data, business rules, customer/account/product relationships, hierarchies, and domain definitions in partnership with Data Governance and business data owners.
• Partner with Commercial Banking, Digital Banking, Operations, Risk, Compliance, and Product teams to design data capabilities that meet business utility, regulatory, privacy, and control requirements.

Data Governance, Quality, Lineage, Privacy, and Controls

• Partner with Data Governance and domain leadership to define ownership, stewardship, accountability, metadata, certification, retention, and control expectations for critical data assets.
• Drive architectural patterns that enable data quality measurement, data observability, exception management, control monitoring, issue remediation, and governed change management.
• Ensure architectures capture and expose business, technical, and operational lineage for high-priority customer, account, transaction, lending, payments, servicing, and digital data flows.
• Embed privacy, security, consent, entitlement, and responsible data use considerations into architecture designs, especially for customer and digital interaction data.
• Support regulatory, audit, risk, compliance, and internal control expectations by embedding control points and evidence generation into data architecture designs.

Platform, Integration, and Data Product Architecture

• Define patterns for integrating banking source systems into enterprise data platforms using batch, streaming, event-driven, API, CDC, and file-based patterns where appropriate.
• Guide data product teams on architecture patterns for reusable, governed, and high-value data products…