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# Sr. Enterprise Data Architect - AWS (Hybrid - Ft. Worth, Texas)

- **Company:** Elan Partners
- **Location:** Southlake, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Architectural Patterns, Audit Trail, Cloud Computing, Cloud Database, Cyber Security, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Data Security, Data Warehousing, Amazon DynamoDB, Machine Learning, Software Engineering, Enterprise Data Management, Electronic Medical Records, HybridCloud, Infrastructure as Code (IaC), Servicebus, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Data Lineage, AWS Glue, Data Analytics, AWS Data Analytics, Apache Kafka, Data Management, Video Streaming, Functional Programming, Data Pipelines
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.com/jobad/us58b17bc21d8cfff05c6ebc1ec17b2587

## About the Role

* 7-10+ years of progressive technology experience with approximately 3-5+ years in data architecture, enterprise architecture or senior-level data engineering.
 * Strong experience designing enterprise-scale data architectures within AWS.
 * Deep knowledge of data modeling, schema design, data lineage, governance and enterprise data-management principles.
 * Hands-on architectural experience with AWS technologies such as Redshift, Glue, DynamoDB, S3, Lambda, EMR and Lake Formation.
 * Strong understanding of modern data lake, data warehouse and cloud data-platform architecture.
 * Comfortable at both defining the enterprise strategy and technical architecture levels.
 * Experience designing scalable data integration and pipeline patterns.
 * Understanding of real-time, batch and event-driven data architectures.
 * Ability to architect for data security, access control, encryption, governance and regulatory requirements.
 * Experience collaborating across data engineering, application development, cybersecurity, integration and cloud infrastructure teams.
 * Strong communication skills with the ability to translate complex technical concepts into clear architectural direction for both technical and business stakeholders.
 * Demonstrated ability to influence technology decisions across teams without relying solely on direct authority.
 * Bachelor's degree in Computer Science, Information Systems, Engineering or a related discipline, or an equivalent combination of education and relevant professional experience., Experience in several of the following areas would be highly desirable but not a hard requirement:
 * AWS Step Functions and/or Apache Airflow
 * Kafka, Kinesis or other event-streaming technologies
 * Hybrid cloud/on-premise data connectivity
 * Machine learning and advanced analytics data environments
 * Infrastructure as Code and automated cloud deployment
 * Building or maturing enterprise data architecture standards and practices
 * AWS Certified Solutions Architect - Professional or AWS data/analytics credentials

## Description

* Own and evolve conceptual, logical and physical enterprise data models across core business domains.
 * Lead architecture for AWS-based enterprise data platforms utilizing technologies such as AWS Glue, Redshift, Lambda, EMR, Lake Formation, DynamoDB and S3.
 * Establish enterprise data architecture standards, taxonomy, naming conventions, governance practices, retention policies and data-lineage frameworks.
 * Define scalable architecture patterns supporting analytical, operational and integration workloads.
 * Partner with cybersecurity teams to establish appropriate identity, access control, audit logging and encryption strategies across data platforms.
 * Design architectural patterns supporting real-time, batch and event-driven integrations utilizing technologies such as Kinesis, Kafka and EventBridge.
 * Guide the architecture of enterprise analytical ecosystems supporting business intelligence, machine learning, advanced analytics and reporting.
 * Partner with platform engineering teams on infrastructure automation, Infrastructure as Code (IaC), CI/CD and data-pipeline observability.
 * Collaborate with application and integration teams to improve data consistency and interoperability across enterprise systems.
 * Lead architecture reviews and provide technical direction for large-scale programs and strategic data initiatives.
 * Evaluate emerging AWS data and analytics technologies and make recommendations regarding adoption and implementation.
 * Mentor data architects and engineers while helping mature the organization's enterprise data architecture capabilities., Role: Senior Data Analytics Architect 15+ Years Needed Location: Southlake, TX / Austin, TX (100% Onsite) - No flexibility Mandatory Skills · 15+ years in Data Architecture, …
 + 1 month ago
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