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# Data Architect

- **Company:** Synovus
- **Location:** Columbus, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Software as a Service, Information Systems, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, IBM InfoSphere DataStage, Metadata, Meta-Data Management, SQL Databases, SQL Server Integration Services, Data Streaming, Enterprise Data Management, Cloud Platform System, Informatica Powercenter, Snowflake, Togaf, Data Lakes, Information Technology, Integration Frameworks, Apache Kafka, Data Management, Physical Data Models, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** May 18, 2026
- **Apply:** https://www.careerjet.com/jobad/usec14a51be865d9ee0ea1469052ca1145

## About the Role

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

## Description

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., 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


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