Business Data Architect

Role Summary

The Business Data Architect plays a critical role in defining and implementing the data strategy for the retail banking division. This individual bridges the gap between business strategy and technical execution, ensuring that data assets are structured, governed, and leveraged to support key banking operations—such as deposits, lending, digital channels, risk management, and customer experience.

The architect partners closely with business leaders, data engineers, analysts, and technology teams to design scalable, integrated, and compliant data solutions that enable analytics, regulatory reporting, and AI-driven innovation.

Key Responsibilities

• Data Strategy & Architecture

• Develop and maintain the retail bank’s enterprise data architecture blueprint, including data domains such as customer, product, transaction, and account data.

• Translate business goals into data models, integration frameworks, and data flows that enable insight-driven decision making.

• Define data architecture standards, reference models, and best practices aligned with enterprise architecture principles.

• Business Alignment & Collaboration

• Partner with business stakeholders to understand key banking processes—e.g., customer onboarding, loan origination, payments, fraud detection—and design supporting data structures.

• Serve as the bridge between business and IT, ensuring that data solutions meet operational, analytical, and regulatory needs.

• Collaborate with Data Governance and Compliance teams to ensure data quality, lineage, and regulatory compliance (e.g., GLBA, BCBS 239, GDPR).

• Data Modeling & Integration

• Design and maintain conceptual, logical, and physical data models across multiple banking systems and platforms.

• Oversee integration between core banking, CRM, digital, and analytics platforms using APIs, data lakes, and data warehouses.

• Support the migration to cloud-based data ecosystems (e.g., Azure, AWS, or GCP) and modern data management tools.

• Data Governance & Quality

• Define data ownership and stewardship models for critical data elements (CDEs).

• Establish and monitor data quality KPIs, lineage documentation, and metadata management standards.

• Partner with data stewards to ensure business definitions, hierarchies, and master data align across channels and systems.

• Innovation & Enablement

• Enable data-driven capabilities for AI/ML, personalization, and customer insights initiatives.

• Evaluate new tools and methods in data architecture, integration, and metadata management.

• Promote a data-centric culture by evangelizing data as a strategic business asset.

Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.

Experience:

• 7+ years of experience in data architecture, data modeling, or enterprise information management.

• Proven experience in retail banking or financial services (core banking, lending, deposits, digital channels, or risk domains).

• Experience with data modeling tools (e.g., ER/Studio, PowerDesigner), and data integration platforms (e.g., Informatica, Talend, MuleSoft).

• Hands-on knowledge of cloud data architectures (Azure Synapse, AWS Redshift, GCP BigQuery, Databricks).

• Familiarity with regulatory data standards and banking data taxonomies (e.g., BIAN, ISO 20022, BCBS 239).

Skills:

• Strong understanding of data governance, data quality, and master data management (MDM) principles.

• Ability to translate complex business requirements into scalable technical solutions.

• Excellent communication and stakeholder management skills.

• Strategic mindset with the ability to balance innovation and compliance.

Preferred Certifications

• CDMP (Certified Data Management Professional)

• TOGAF or DAMA Certification

  
  Location: This position is a hybrid role in Pittsburgh, PA or Cleveland, OH

  This is a full-time W2 Salaried position. Applicants must be legally authorized to work in the United States now and in the future without the need for sponsorship.

  At Techstra Solutions, we help top companies and brands achieve the business value of Digital and Talent Transformation. We believe there are three components in successful business transformation: Business Strategy, Technology and Talent. It is the coming together of these three disciplines that enables companies to take full advantage of opportunities. It differentiates us. Our approach is holistic and all-encompassing. We consider the full picture as we guide our clients on this journey. We are experts in transformation, business strategy, technology, innovation, and human capital management. We deliver our expertise through client consulting, innovative staffing solutions and software development. From strategy through implementation, we are dedicated to bringing our clients world-class business and talent solutions that fit strategic requirements and most importantly, deliver results.

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender,, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.

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