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Solutions Architect 4

Job in Las Vegas, San Miguel County, New Mexico, 87701, USA
Listing for: Compa-Industries
Full Time position
Listed on 2026-08-01
Job specializations:
  • IT/Tech
    Data Engineering, SAP Consultant
Salary/Wage Range or Industry Benchmark: 100 - 110 USD Hourly USD 100.00 110.00 HOUR
Job Description & How to Apply Below

Solutions Architect 4 – SAP S/4

HANA Data Migration Lead

Location: 100% Remote, with approximately quarterly travel to Los Alamos, New Mexico
Pay Rate: $100–$110/hr
Work Schedule: 9/80 or 5/8 schedule
Positions Available: 1
Clearance: Not required (US Citizenship Required)
Start Date: ASAP; interviews are beginning immediately

About the Role
  • COMPA Industries is recruiting on behalf of Los Alamos National Laboratory (LANL) for a Solutions Architect 4 – SAP S/4

    HANA Data Migration Lead
    supporting Project Nexus and LANL’s broader enterprise data modernization initiative.
  • LANL is moving its enterprise resource planning environment to a cloud-based SAP platform, including a greenfield S/4

    HANA implementation. Ariba, Concur, and Fieldglass are already part of the broader SAP ecosystem, and the future-state data architecture will include SAP Business Data Cloud connected to Databricks.
  • This role will serve as LANL’s internal senior authority on SAP data migration. The selected candidate will oversee, evaluate, and challenge the System Integrator’s recommendations while helping LANL make the right decisions regarding migration architecture, data quality, cost, risk, governance, cutover, and long-term operational impact.
  • The ideal candidate is not a passive reviewer. This person must be able to translate highly technical migration guidance into practical, actionable decisions for LANL leadership and delivery teams. The role requires someone who can identify unnecessary risk, prevent runaway costs, and ensure that short-term implementation choices do not create long-term operational burdens.
Key Responsibilities

Serve as LANL’s senior internal expert for SAP S/4

HANA data migration.

Act as the primary technical peer to the System Integrator’s data migration lead.

Independently review the System Integrator’s migration strategy, architecture, assumptions, plans, and deliverables.

Challenge recommendations that create unnecessary technical risk, cost, schedule impact, audit exposure, or downstream operational burden.

Advise LANL leadership on migration architecture decisions and translate technical options into clear business and program recommendations.

Help determine when to accept the System Integrator’s judgment, when to request additional evidence, when to elevate, and when LANL should hold its position.

Protect LANL’s long-term interests throughout design, migration, cutover, and post-go-live support.

SAP S/4

HANA Architecture and Data Modeling

Provide expert guidance on SAP S/4

HANA data models and the structural differences between legacy ERP platforms and the future SAP environment.

Advise on source-to-target mapping and legacy-concept-to-SAP-concept translation.

SAP Business Partner

Universal Journal

Finance and Controlling

Supply Chain

Human Capital Management

Plant Maintenance and Enterprise Asset Management

Customer, vendor, material, and enterprise master data

Identify cross-functional data dependencies that may affect business readiness, reconciliation, or cutover.

Evaluate migration tooling based on functionality, cost, scalability, schedule, security, and auditability.

SAP Business Data Cloud and Databricks Integration

Provide architectural guidance for SAP Business Data Cloud and its role within LANL’s future-state S/4

HANA data landscape.

Advise on integration patterns between SAP S/4

HANA, SAP Business Data Cloud, and Databricks.

Evaluate BDC connector designs and recommend appropriate data movement, replication, staging, transformation, and access patterns.

Help define how SAP transactional data should support enterprise analytics, reporting, AI/ML, reconciliation, and operational use cases.

Recommend appropriate use of Databricks, Snowflake, or equivalent platforms for data staging, validation, transformation, reconciliation, and analytics.

Advise on zero-copy, replicated, and traditional ETL patterns where appropriate.

Ensure the future data architecture supports security, governance, classification, and long-term maintainability.

Legacy Oracle and Enterprise Data Migration

Support the migration of data from Oracle E-Business Suite, Oracle ODS, and other legacy enterprise systems into SAP S/4

HANA.

Bridge Oracle source-system…

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