The Role
Job Summary & Responsibilities Preferred Qualifications
Minimum Experience: 10+ years of experience in data architecture, data engineering, or enterprise architecture
Required Knowledge, Skills, & Abilities:
Job Summary:
We are seeking an experienced Enterprise Data Architect to define, govern, and evolve the enterprise-wide data architecture that enables analytics, operational excellence, and data-driven decision-making. This role partners closely with business leaders, application architects, engineers, and security teams to ensure data solutions are scalable, secure, and aligned with business strategy.
We are seeking an experienced Enterprise Data Architect to define, govern, and evolve the enterprise-wide data architecture that enables analytics, operational excellence, and data-driven decision-making. This role partners closely with business leaders, application architects, engineers, and security teams to ensure data solutions are scalable, secure, and aligned with business strategy.
Key Responsibilities
Enterprise Data Architecture & Strategy
- Define and maintain the enterprise data architecture roadmap, standards, and reference architecture
- Design conceptual, logical, and physical data models across enterprise platforms
- Establish best practices for data integration, storage, metadata, and lifecycle management
Data Platforms & Integration
- Architect solutions across data warehouses, data lakes, lakehouses, and cloud-native platforms
- Guide integration patterns for ETL/ELT, APIs, streaming, and event-driven data pipelines
- Ensure interoperability across cloud, on-prem, and SaaS platforms
Governance, Security & Quality
- Partner with data governance teams to implement data stewardship, lineage, and metadata management
- Ensure compliance with security, privacy, and regulatory requirements (e.g., PII, HIPAA, GDPR, SOX as applicable)
- Define data quality frameworks, controls, and monitoring standards
Analytics & Advanced Use Cases
- Enable enterprise analytics, BI, AI/ML, and self-service reporting capabilities
- Support domain-oriented and product-aligned data architectures (e.g., data mesh where applicable)
Leadership & Collaboration
- Act as a thought leader and advisor to senior leadership and project teams
- Review and approve solution designs to ensure architectural alignment
- Mentor data architects, engineers, and analysts
Minimum Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)
Minimum Experience: 10+ years of experience in data architecture, data engineering, or enterprise architecture
Required Knowledge, Skills, & Abilities:
- Strong expertise in:
- Enterprise data modeling (conceptual, logical, physical)
- Data warehousing and data lake architectures
- SQL and relational database design
- Experience with cloud platforms (Azure, AWS, or GCP) and modern data services
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The Company
What We Do
Synovus is a full-service, top-performing mid-cap bank with over $57 billion in assets and $7.3 billion in capital and has been named one of Newsweek’s Most Trustworthy Companies. Our purpose is to enable people to reach their full potential, and we pursue that aspiration in all the communities we serve across the Southeast and beyond. Whether you’re a prospect, client, or team member, we know you have goals you want to reach. We’ll help you get there
