Hybrid Senior ERP Data Architect — AWS Data Platform Lead

Élan Partners; Fort Worth (TX); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Élan Partners is seeking a Sr. ERP Enterprise Data Architect to shape and govern our enterprise data landscape. You will define data models, lead AWS-based platforms, and drive standards across governance, security, and scalability.

The role combines strategic leadership with hands-on architectural depth, collaborating across data engineering, cybersecurity, and cloud teams to deliver scalable, secure data ecosystems.

Qualifications

• 7–10+ years of technology experience with approximately 3–5+ years in data architecture, enterprise architecture or senior-level data engineering.
• ERP implementation experience combined with data architecture and integration.
• 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.

Responsibilities

• 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.

Job description

Élan Partners is seeking a Sr. ERP Enterprise Data Architect to shape and govern our enterprise data landscape. You will define data models, lead AWS-based platforms, and drive standards across governance, security, and scalability.

The role combines strategic leadership with hands-on architectural depth, collaborating across data engineering, cybersecurity, and cloud teams to deliver scalable, secure data ecosystems.