Manage documents and data for litigation support, ensuring compliance with ESI specifications. Collaborate with attorneys to track and process incoming documents, and perform quality checks on exported data for legal proceedings.

• Own the enterprise data platform vision and roadmap centered on Snowflake • Define and maintain logical and physical data architecture (raw, staging, curated layers) • Establish platform standards for ingestion, modeling, and consumption • Ensure platform readiness for BI, analytics, and AI/ML use cases • Executive ownership of Snowflake environments, security model, and cost management • Define best practices for ingestion pipelines, schema design, RBAC, and performance • Partner with Security and IT on privacy, compliance, and data protection • Lead a small, high-impact Data Platform team (6–8 roles) • Oversee ingestion of enterprise systems including registration, eCommerce, finance, inventory, and CRM • Ensure reliable, testable, and well-documented data pipelines • Establish development standards, CI/CD, and operational support models • Own the data and analytics foundation for core Enterprise KPIs • Partner with business leaders to define, standardize, and certify enterprise metrics • Establish authoritative data models and semantic definitions in Snowflake • Ensure executive dashboards consume certified, governed datasets • Oversee data quality, reconciliation, lineage, and metric integrity • Enable scalable self-service analytics with strong governance guardrails • Act as the single point of accountability for enterprise KPI data integrity • Align platform priorities to executive reporting and strategic initiatives • Present platform readiness, risks, and KPI trust indicators to leadership • Partner with BI and Finance teams to evolve KPI definitions over time

Role Description We are seeking an experienced SAP Data Migration Engineer to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SAP data migration experience. - Strong hands-on experience with SAP LTMC and S/4HANA migration tools. - Experience with SAP SLT replication scenarios. - Working knowledge of SAP LVM for system refresh and landscape management. - Strong understanding of SAP master and transactional data structures. - Experience performing data validation and reconciliation processes. - Strong SQL and data analysis skills. - Experience working in enterprise SAP landscapes during major implementations. - Strong troubleshooting and documentation skills. Requirements - Design and execute SAP data migration strategies for S/4HANA implementations, including conversion and greenfield scenarios. - Perform data extraction from legacy systems using SAP-provided and custom tools and prepare data for ingestion into SAP. - Configure and utilize SAP LTMC (Legacy Transfer Migration Cockpit), including custom migration objects where required. - Implement real-time replication scenarios using SAP SLT (System Landscape Transformation), including transformation rules and filter conditions. - Manage logical system setups and replication configurations for hybrid SAP environments. - Support system refreshes and landscape virtualization activities using SAP LVM (Landscape Virtualization Management). - Design and execute data transformation, cleansing, and enrichment processes prior to migration. - Develop comprehensive validation and reconciliation reports to ensure data accuracy and completeness. - Identify and resolve data inconsistencies, duplicates, and orphan records prior to go-live. - Support mock migrations, dress rehearsals, and the final cutover, including detailed runbook execution and rollback planning. - Optimize performance for large-volume data loads, including parallelization, package sizing, and database tuning. - Collaborate with functional teams to validate master and transactional data against business expectations. - Ensure compliance with enterprise data governance, audit, and privacy standards. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. Benefits - Competitive base salary commensurate with experience, plus benefits. - 100% remote, full-time, direct W2 position. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap.

Title: Scientific Data Services Engineer - AI & HPC Location: Lemont United States time type Full time job requisition id 422640 The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise. The ALCF has an opening for a data services engineer working in the space of enabling AI for science, specifically targeting large-scale scientific data management. The successful candidate will join the Data Services and Workflows group, which focuses on scientific workflows that combine large-scale data, simulations, analysis, and AI. In this position, the candidate can expect to engineer solutions that expose terabytes to petabytes of scientific data to users and to AI models, emphasizing data ingestion, indexing, and search of diverse data. Working together with scientists, you will work to understand data from target science domains, how to structure it efficiently for search according to project requirements, and expose it to users through highly-usable web applications, and to AI applications through high-performance APIs. The Data Services and Workflows group--and this position--involves work in a highly collaborative environment involving science application teams, academia and industry, as well as other national labs and agencies, to solve some of the world’s largest and most complex problems in science and engineering. The candidate will engage with science application teams and contribute to broader scientific initiatives. This position qualifies as "Hybrid Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of their time remotely. Position Requirements Required skills and qualifications - RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent - Degree in computer science, computational science, a physical science, engineering, or related field - Comprehensive experience programming in one or more programming languages such as Python, C/C++ - Experience with at least one data management framework (e.g. OpenMetadata) - Experience with deployment in diverse environments (e.g. Kubernetes, HPC) - Ability to create, maintain, and support high-quality software is essential - Experience with version control software such as git - Ability to work collaboratively in a fast-paced environment - Effective written and oral communications skills - Ability to model Argonne’s core values of impact, safety, respect, integrity and teamwork Preferred skills and qualifications - A recent MS or PhD in computer science, computational science, a physical science, engineering, or related field - Experience working with scientific data in one or more domains - Experience working with parallel filesystems - Experience designing or operating data services, including deployment, analysis, and integration with AI language models - Experience profiling and optimizing data services for performance - Familiarity with secure, multi-user services, including authentication/authorization, and API security Job Family Research Development (RD) Job Profile Software Engineering 2 Worker Type Regular Time Type Full time The expected hiring range for this position is $94,486.00 - $147,398.94. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.