Lead Architect – Data Lakehouse

Role Overview

• 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