Senior Data Architect

About the Company

Required Experience & Technical Skills

About the Role

Core Experience

15+ years hands-on data modeling and architecture experience with complex enterprise systems. Deep expertise with ER modeling, conceptual/logical/physical modeling, and tools such as Erwin (15+ years). 10+ years financial services experience (Cards, Payments, Digital Banking preferred).

Technical Expertise

SQL Mastery: Expert in Oracle Exadata, MongoDB, Snowflake. Cloud & Modern Platforms: Strong experience with Snowflake, Azure/AWS data services, microservices, and event streaming architectures. ETL/ELT & Pipelines: Matillion, DBT, SnapLogic, Informatica (nice to have). Scripting: Strong Python experience for automation, ingestion, alerts, and governance workflows. Analytics Tools: Excel (advanced macros), Splunk, Power BI, and PowerPoint for documentation and visualization. Frameworks: Familiarity with BIAN, ISO20022, IBM Banking Data Models is a plus.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related fields.

Required Skills

Excellent verbal and written communication; able to translate complex data concepts for diverse audiences. Strong analytical skills with the ability to identify trends, gaps, and modeling opportunities. Comfortable operating in a highly matrixed, fast-paced enterprise environment with multiple parallel initiatives. Strong organizational and planning skills; able to manage SLAs and deliverables across multiple stakeholders. Must be able to coach, train, and mentor junior team members.

Preferred Skills

None specified.

Pay range and compensation package

None specified.

Equal Opportunity Statement

None specified.