Sr. Enterprise Data Architect - AWS (Hybrid - Ft. Worth, Texas)
Elan Partners
Southlake, TX, United States
22 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Amazon S3
Architectural Patterns
Audit Trail
Cloud Computing
Cloud Database
Cyber Security
Information Systems
Continuous Integration
Data Architecture
Information Engineering
+24 more
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
Job 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, …
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Requirements
- 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
About the company
Alcon
- Fort Worth, TX At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Her…
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