Develops high level frameworks that align IT infrastructure with business processes/data to support and enable the execution of business strategies, to improve the efficiency and productivity of business operations, and to better connect business objectives to the people, process, technology and data changes required to achieve results
Maps the relationships between information systems components (i.e., end users, business processes, applications, data, IT platform hardware/software, info security and networks)
Identifies key interactions and dependencies across separate systems and platforms
Evaluates the total cost of ownership and return on investment of various architecture alternatives
Requirements
Bachelor's degree, or equivalent work experience
Eight or more years of related experience
Demonstrated experience analyzing business products and technology to define target/future state architecture optimized for business agility, innovation, performance, resiliency, cost, security, using both Cloud Native and On-prem solutions
Proven track record leading cross-functional engineering teams, enforcing best practices, and aligning technical delivery with strategic architecture principles
Leadership experience driving technology transformation, modernization, and large-scale program delivery, preferably in the banking/finance industry supporting high‑volume payments products in a multi-tenant environment
Proven track record in digital transformation, Data Lakehouse architecture, cloud migration (Azure/AWS), application engineering and IT program management
Proven leadership implementing data governance, security, and compliance controls aligned to PCI DSS, SOX, GDPR, and regulatory expectations
Hands-on experience with multi-zone data lake patterns (raw, cleaned/enhanced, curated/trusted, consumption), optimized storage formats, metadata-driven ingestion, and analytics-ready data models
Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale
Expertise in real-time and batch data ingestion architectures (Kafka/Event Hubs, Spark, Delta Lake, etc.), including leading design and management of tools/processes/services for comprehensive data ingestion and integration
Experience leading the design and implementation of enterprise data governance frameworks, including data lineage, cataloging, business glossaries, and data quality controls
Ensures end-to-end traceability from source to consumption, improving data trust, auditability, and regulatory compliance.
Tech Stack
AWS
Azure
Cloud
Kafka
Spark
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law