Data Architect

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.

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 Preferred Skills & Experience Experience with tools and technologies such as: Snowflake, Databricks, Redshift, BigQuery, Synapse Kafka, Azure Event Hubs, or other streaming platforms SSIS, Datastage,Informatica or similar integration tools Familiarity with TOGAF or similar architecture frameworks Strong communication skills with both technical and non-technical stakeholders