Job Title- Senior Data Architect
Duration: 9 Months (initial budget through July 2026) potential for conversion if candidate/banking end client are mutually interested
Client Location: Pittsburgh PA
Travel Requirements
- Light travel required; approximately 4 6 days/month to Pittsburgh location
- Architects will meet with bank teams in person every 2 3 weeks typically for 2 3 days per visit.
- Travel is billable and expensed per the banks travel policy (preferred hotels flights etc.).
We are seeking an experienced Senior Data Architect. The ideal candidate will possess deep
expertise in a variety of database architectures and data technologies with a strong focus on
creating scalable robust and secure data solutions that support strategic business initiatives.
Key Responsibilities
Architectural Design & Strategy: Lead the design and evolution of the enterprise
payments data architecture including conceptual logical and physical data models.
Collaborate on design using various data architectures and technologies as appropriate.
Database Management: Determine appropriate database designs and implementation
patterns based on business requirements performance and resilience needs.
Data Modeling: Provide guidance and direction on the use of a canonical data models
to ensure consistency and interoperability across different business domains and systems.
System Integration: Collaborate with engineering and development teams to ensure new
systems and applications adhere to established data architectural standards and
successfully integrate with the existing data landscape.
Security & Compliance: Ensure designs comply with regulatory requirements and
internal policies particularly concerning data privacy and security.
Support the creation of migration strategies for transitioning from legacy payment
platforms to modern architecture
Qualifications
Experience: 7 years of progressive experience in data architecture data modeling and
database design.
Data Architecture:
o Expertise in various database architectures and technologies including Relational
(SQL) and Non-Relational (NoSQL) databases.
o Proven experience designing and implementing large-scale data platforms such as
Data Warehouses Data Lakes ODS and Data Lakehouses.
o Strong proficiency in creating data models and applying various data modeling
techniques (e.g. 3NF Dimensional Modeling Data Vault).
Model Design: Demonstrated ability to translate complex business requirements into
robust scalable and efficient data model designs.
Soft Skills
Excellent communication skills with ability to articulate complex technical concepts to
non-technical stakeholders
Strong analytical and problem-solving capabilities
Ability to work effectively in matrixed fast-paced transformation environments
Experience leading architecture reviews and design authority forums
Preferred Skills
Payments Industry Experience: Prior experience in the financial services sector
specifically within the payments domain (e.g. processing clearing settlement).
ISO 20022 Knowledge: Familiarity with or experience implementing solutions based on
the ISO 20022 standard for financial messaging.
Big Data Technologies: Knowledge of technologies such as event driven architectures
Spark Kafka or similar systems.