Senior Data Architect - ERP Modernization (DOE/LANL)

Location: Remote Compensation: $102-$105/hr

Organization: Business Applications and Data Services (ADS-BADS) Work Environment: 100% Remote

Citizenship: U.S. Citizenship Required Clearance: Ability to obtain DOE Q Clearance

ABOUT THE ROLE

Join a team of bright, motivated professionals using agile methodologies to design, build, and transform business solutions through a major ERP modernization initiative at Los Alamos National Laboratory. As part of the Business Applications and Data Services (ADS-BADS) organization, you will play a key role in executing an enterprise-wide data strategy to modernize LANL's core operational data environment and transition to a scalable, cloud-native platform.

Los Alamos National Laboratory has selected SAP as its next-generation Cloud ERP solution. In parallel, this role will help define and implement the future-state data architecture required to modernize the current on-premises operational data store and enable advanced capabilities including real-time analytics, AI/ML enablement, enhanced operational efficiency, and enterprise data accessibility and governance. This position is critical to transforming legacy data environments into a modern, secure, cloud-native architecture.

WHAT YOU'LL DO

• Define enterprise data strategy, standards, and architectural blueprints
• Lead modernization of legacy data environments to cloud-native platforms
• Design and implement large-scale data architectures and data warehouses
• Plan and execute complex data migrations including on-premises to cloud and cloud to cloud
• Partner with ERP planners, integrators, and institutional subject matter experts
• Ensure data integrity, security, governance, and accessibility across the enterprise
• Provide technical leadership and direction across multiple concurrent initiatives
• Present architectural strategies and decisions to executive stakeholders
• Collaborate cross-functionally with business analysts, developers, infrastructure, and ERP teams

MINIMUM REQUIREMENTS

• 15+ years of progressive experience in data architecture and modernization
• Extensive experience with one or more of: Snowflake, Databricks, or SAP data platforms (S/4HANA, Datasphere, etc.)
• Proven experience as a Senior Data Architect on large-scale programs
• Strong background in data warehousing, enterprise data platforms, and large-scale modernization initiatives
• Deep understanding of major cloud platforms and native data services
• Significant data migration experience
• Demonstrated ability to lead technical teams
• Strong stakeholder engagement and executive presentation skills
• Excellent written and verbal communication skills
• Bachelor's degree and 12+ years of related experience, or equivalent combination of education and experience

DESIRED QUALIFICATIONS

• Master's degree in Computer Science, Information Systems, or a related field
• Experience with SAP Business Data Cloud (BDC), SAP Business Technology Platform (BTP), or SAP Integration Suite
• Experience leading architecture for data lakes, lakehouses, ETL/ELT pipelines, and streaming architectures
• Experience implementing enterprise data catalogs and governance programs
• Familiarity with big data technologies and machine learning concepts
• ERP certifications such as SAP, Oracle, or Workday

MANDATORY REQUIREMENTS - READ BEFORE APPLYING

• Must be a U.S. Citizen - required for Q Clearance eligibility, no exceptions
• Must have 15+ years of progressive experience in data architecture and modernization
• Must have hands-on experience with Snowflake, Databricks, or SAP data platforms
• Must have proven Senior Data Architect experience on large-scale enterprise programs
• Must be able to obtain a DOE Q Clearance - subject to federal background investigation