• 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.

Kafka Data Engineer Location: Ford Island, HI, United States Full time job requisition id R0241130 Job Description: Kafka Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it is gathered from disparate sources. We need a Data Engineer who is experienced in upgrading and maintaining Kafka clusters in Kubernetes in AWS, as well as utilizing Kafka Schema Registry and Kafka Security Manager (KSM) to manage schema evolution and security. In this role, you'll use your expertise in designing, developing, and deploying Kafka clusters in a cloud environment, and with Kafka Schema Registry and Kafka Security Manager. Here, you will guide and mentor data engineers, developers, and data consumers in a fast-paced, agile environment and will oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Join us. The world can't wait. You Have: - Experience with Kafka - Experience creating data partitioning strategies and monitoring topics for performance - Experience deploying and upgrading Kafka clusters in high availability containerized environments - Experience utilizing observability platforms such as Elastic or Datadog to configure monitoring for data pipelines to ensure high availability and throughput, low latency, and alerting - Knowledge of stream processing pipelines and analytics - Secret clearance - HS diploma or GED Nice If You Have: - Experience with Apache NiFi - Experience with multi-cluster or containerized environments - Experience with scripting in Bash or Python - Experience deploying and maintaining applications, appliances, or machines aligned to DoD Security Technical Implementation Guidelines (STIG) and Security Requirements Guides (SRG) - Experience writing playbooks and scripts for automation tools, including Terraform, Ansible, or Puppet for Infrastructure as Code (IaC) and Configuration as Code (CaC) - Knowledge of cybersecurity concepts, including threats, vulnerabilities, security operations, encryption, boundary defense, auditing, authentication, and supply chain risk management - Bachelor's degree - DoD 8570 IAT Level II Certification such as Security+, CCNA Security, or GSEC Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.