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.
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
Synovus is an Equal Opportunity Employer committed to fostering an inclusive work environment.
Qualifications
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
