Data Architect, S/4HANA Transition

🕒 July 21

🏈 Alabama, Arizona, +3 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote ⛰️ Colorado – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• Own the enterprise data architecture for the ECC → S/4HANA transition, defining principles, reference architectures, and guardrails for data domains (Finance, Supply Chain, Order‑to‑Cash, Procure‑to‑Pay, etc.) • Design the bridge reporting strategy that harmonizes ECC and S/4HANA datasets to produce consistent KPI definitions and cross‑system analytics (e.g., consolidated financials, inventory, order fulfillment), including semantic layers and data virtualization/replication as appropriate • Model canonical and system‑specific data (conceptual, logical, physical) and establish golden sources, conformed dimensions, data standards, and naming/versioning conventions • Define integration patterns (e.g., SLT/ODP/CDC, APIs, files, events) between SAP and the analytical stack, balancing latency, cost, reliability, and data quality • Enable analytics & planning in SAP Analytics Cloud (SAC)—curate models, measures, and calculations; design security and data‑access patterns; guide dashboard/story design standards • Oversee ETL/ELT pipelines using SAP BusinessObjects Data Services (BODS) and modern orchestration patterns; define error handling, lineage, and observability • Create and maintain architecture artifacts (capability maps, value streams, domain models, roadmaps, standards) aligned to TOGAF ADM phases A–D and communicate them to technical and business stakeholders • Coach delivery teams and provide architectural reviews to ensure solutions conform to strategy while meeting near‑term milestones during the phased migration.

🎯 Requirements

• Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years' experience • Experience with the SAP ECC data model (core modules and common customizations/extensions) • Experience with the SAP S/4HANA data model, including CDS views, embedded analytics concepts, and differences from ECC • Experience in data architecture/engineering with end‑to‑end ownership of enterprise data platforms • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract • Experience with Snowflake (data modeling for analytics, performance tuning, governance, cost optimization) • Experience with SAP Analytics Cloud (SAC) (modeling, security, stories, planning) and SAP BusinessObjects Data Services (BODS) for ETL/ELT • Experience with SAP Business Data Cloud / SAP Datasphere for semantic modeling, data federation/replication, and governance • Experience with designing bridge/transition architectures that support multi‑system reporting during large transformations • TOGAF‑certified; practiced in using the TOGAF framework to build and communicate architecture to business and technical stakeholders • Experience with formal architecture modeling (UML, BPMN, SysML, ArchiMate) • Executive presence and strong communication skills; comfortable leading change across large initiatives and organizations • Ability to dive deep into how the business creates value and translate that into data architectures and roadmaps • Experience across the full IT lifecycle (planning, design, deployment, operations) and with cross‑functional delivery teams • Strong grounding in data modeling, data warehousing, and data integration techniques • Prior experience as a BI analyst, data scientist, software developer, or system administrator • Demonstrated ability to use abstraction and simplification to communicate complex systems to different audiences • Strong influencing and relationship skills to develop and maintain key partnerships.

🏖️ Benefits

• Medical • Dental • Vision • Life insurance • Short-term disability • Long-term disability • 401(k) match • Flexible spending accounts • Flexible work schedules • Employee assistance program • Employee Scholar Program • Parental leave • Paid time off • Holidays