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
- COMPA Industries is recruiting on behalf of Los Alamos National Laboratory (LANL) for a Solutions Architect 4 – SAP S/4HANA 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/4HANA 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.
Serve as LANL's senior internal expert for SAP S/4HANA 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 escalate, and when LANL should hold its position.
Protect LANL's long-term interests throughout design, migration, cutover, and post-go-live support.
Provide expert guidance on SAP S/4HANA 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.
Guide migration decisions involving:
SAP Business Partner
Universal Journal
Material Ledger
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.
Provide architectural guidance for SAP Business Data Cloud and its role within LANL's future-state S/4HANA data landscape.
Advise on integration patterns between SAP S/4HANA, 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.
Support the migration of data from Oracle E-Business Suite, Oracle ODS, and other legacy enterprise systems into SAP S/4HANA.
Bridge Oracle source-system concepts with SAP target-system structures.
Identify gaps between legacy data definitions and future-state SAP business processes.
Advise on extraction, transformation, staging, reconciliation, and archival strategies.
Evaluate legacy dependencies that may create operational, reporting, or compliance issues after migration.
Ensure that important legacy concepts are not lost, misinterpreted, or silently excluded during transformation.
Lead day-to-day coordination of LANL's internal data migration workstream across business and technical domains.
Maintain the data migration plan and identify slippage, dependencies, and delivery risks early.
Track System Integrator deliverables, decisions, risks, issues, assumptions, and open actions.
Facilitate working sessions with LANL data owners, functional leads, architects, engineers, security personnel, and the System Integrator.
Drive open actions and decisions to completion.
Coordinate dependencies across Finance, Supply Chain, Human Resources, Plant Maintenance, EAM, and master-data teams.
Help resolve delivery issues without unnecessarily deferring decisions upward.
Establish and monitor data cleansing and quality standards across all migration domains.
Validate that quality thresholds are appropriate for S/4HANA go-live and long-term operations.
Coordinate cleansing activities with business data owners and ensure remediation remains on schedule.
Identify risks the System Integrator may not surface, including:
Missing legacy concepts
Incomplete source data
Silent data loss
Invalid transformation logic
Cross-domain dependencies
Duplicate or conflicting records
Reconciliation gaps
Unsupported business processes
Organize and track mock migration and load cycles.
Independently review reconciliation results rather than relying solely on System Integrator conclusions.
Ensure business teams complete validation activities within established cycle windows.
Confirm that findings and defects are resolved before subsequent load cycles.
Ensure migration activities comply with LANL data-classification policies and applicable regulatory requirements.
Translate security and compliance requirements into practical data migration controls.
Establish appropriate controls for extraction, transfer, staging, transformation, validation, retention, and loading.
Maintain the data migration cutover plan and coordinate activities with the System Integrator and LANL technical teams.
Support fallback, recovery, and contingency planning.
Prepare data-readiness assessments for go/no-go decisions.
Provide independent risk assessments to program leadership.
Support data-related issue resolution during go-live and hypercare.
Provide clear migration status reporting to program and executive leadership.
Maintain risks, actions, issues, decisions, and dependencies within the program RAID log.
Translate technical findings into understandable business impacts and recommended actions.
Present confidently to executive, business, functional, and technical audiences.
Communicate effectively with System Integrator leadership, SAP architects, Oracle specialists, Databricks engineers, cyber security teams, and business stakeholders.
Bachelor's degree in information technology, computer science, engineering, business systems, data management, or a related discipline.
A bachelor's degree is preferred; extensive directly related experience may substitute for formal education.
15+ years of enterprise SAP data migration, ERP transformation, solution architecture, or closely related experience.
Demonstrated leadership of large-scale enterprise migration programs.
Experience delivering at least one major SAP S/4HANA migration or transformation through design, build, testing, cutover, go-live, and hypercare.
Experience working with a major System Integrator or directly overseeing System Integrator delivery.
Experience serving in a client-side advisory, architecture, or technical oversight role.
Candidates should demonstrate strong experience in the following areas:
SAP S/4HANA data models and enterprise data architecture
SAP Business Data Cloud
SAP BDC connector architecture and integration
Databricks, Snowflake, or an equivalent modern data platform
Large-scale ERP migration and modernization
Data migration from non-SAP source systems
Source-to-target mapping and transformation design
ETL and data staging architecture
Data cleansing, quality, validation, and reconciliation
Mock loads and migration-cycle planning
Cutover sequencing and fallback planning
Data governance, classification, and auditability
System Integrator oversight and delivery assurance
Executive and technical communication
Applicants must have:
Advanced SAP S/4HANA data model expertise
SAP Business Data Cloud experience
Databricks, Snowflake, or comparable modern data-platform experience
Large-scale ERP migration experience
Strong understanding of enterprise data migration methodologies
Experience independently evaluating and challenging System Integrator recommendations
Demonstrated ability to convert technical guidance into actionable program decisions
Excellent written, verbal, facilitation, and executive presentation skills
Ability to work effectively with limited supervision in a senior advisory capacity
Oracle E-Business Suite experience
Oracle ODS or comparable operational data store experience
Direct experience migrating from Oracle into SAP S/4HANA
SAP BDC connector implementation experience
Integration experience between SAP Business Data Cloud and Databricks
Active SAP certifications
Active Databricks certifications
Snowflake experience
Experience with enterprise cloud ERP implementations
Experience supporting regulated, audit-intensive, government, defense, utilities, healthcare, life sciences, pharmaceutical, or financial-services environments
Experience with formal data lineage, retention, governance, classification, and audit-evidence requirements
- The strongest candidate will understand both the SAP target environment and the legacy enterprise data landscape.
- This person will bring the technical depth to review complex S/4HANA data models, SAP Business Data Cloud architecture, Databricks integration, transformation logic, and reconciliation results. At the same time, they must possess the judgment and communication skills to explain the implications of those decisions to program leaders and business stakeholders.
- The successful candidate will be comfortable challenging a major System Integrator, but will also know when the integrator's recommendation is reasonable and should be accepted. This individual should be practical, delivery-focused, confident, collaborative, and willing to remain involved in the daily details of the workstream.
Initial Duration: 1 year
Program Outlook: The underlying Project Nexus and data modernization effort is expected to continue for at least five years. Contract extensions are possible based on program needs, funding, and performance.
Conversion: Conversion to a direct position is not anticipated.
Work Arrangement: 100% remote, with approximately four short-term onsite trips per year for critical meetings.
Travel: Quarterly travel to Los Alamos is anticipated.
Per Diem: Available for eligible short-term travel of fewer than 30 days.
Relocation: Not required.
Clearance: No security clearance is required.
Work Environment: The selected candidate may work with confidential information but will not routinely work in a secure area.
Schedule: Candidates may work either a 9/80 or 5/8 schedule. A 4/10 schedule is not available for this position.
Overtime and On-Call: No overtime or on-call responsibilities are anticipated.
Access: LANL A-Level access is required and has been approved for the position.
- Resume review is underway, and interviews are expected to begin immediately. Initial interviews are anticipated to be conducted remotely through Microsoft Teams.
- Because LANL has already begun reviewing candidates, qualified applicants are encouraged to apply promptly.
At COMPA, we don't just offer jobs — we build careers. With more than 30 years of experience supporting Los Alamos National Laboratory and other highly technical programs, COMPA connects skilled professionals with work that has lasting national impact.
This position offers the opportunity to influence one of LANL's most important enterprise modernization efforts while working remotely, partnering with senior leaders, and shaping a long-term SAP and data-platform strategy.
COMPA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration regardless of age, race, color, religion, sex, national origin, sexual orientation, disability, or protected Veteran status. Certain criminal histories may disqualify candidates for specific positions, per company policy.
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