Senior Data Architect

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 bank's 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. campus4tech