Principal SAP S/4HANA Data & Technical Architect

Boeing•Renton, WA

1d•Hybrid

About The Position

The Boeing Company is looking for a Principal SAP S/4 HANA Data & Technical Architect to join our team in Renton, WA, Arlington, VA, Dallas, TX, Ridley Park, PA, or Berkeley, MO. The selected candidate will lead SAP development initiatives across Boeing business units (Boeing Commercial Airlines (BCA), Boeing Defense, Space & Security (BDS), and Boeing Global Services (BGS)). This role defines scalable, governed, and Artificial Intelligence AI-ready data solutions across SAP S/4HANA, SAP Datasphere, and SAP Business Data Cloud, incorporating Medallion architecture, knowledge graphs, Core Schema Notation (CSN) modeling, and modern Artificial Intelligence (AI) toolchains, ensuring high-performance, scalable, and future-proof solutions for Aerospace & Defense (A&D) business processes. The ideal candidate will combine deep SAP S/4HANA expertise with strong enterprise architecture, data governance, and technical leadership skills to guide implementation, optimization, and modernization efforts.

Requirements

10+ years of experience in SAP architecture
10+ years of experience leading delivery of SAP solution development efforts including functional and technical solutions
Expertise with SAP HANA Platform including; Code-to-Data paradigm and (OData) Open data Protocol, (CDS) Core Data Service views, and (AMDP) ABAP Managed Database Procedure
Expertise with SAP IDOC Integration, Workflow and ABAP programming
10+ years of experience working on interfaces connecting SAP and non-SAP systems (IDOCs - Intermediate documents, BAPIs - Business Application Programming Interface, RFCs - Remote Function Calls and Customs programs.)

Nice To Haves

SAP S/4HANA Certification
1+ year of experience with SAP Business Technology Platform (BTP) for Business data Cloud development.
TOGAF Certification
Experience in U.S Aerospace & Defense and Manufacturing (A & D) industries
Knowledge of SAP Activate methodology
Experience in leading SAP development teams, working with global system integrators and A & D business leaders
Strong problem-solving skills and ability to work in a fast-paced, complex environment
Excellent executive communication and stakeholder management skills to interact with leadership teams
Experience with SAP system landscape architecture and governance processes
Experience in defense contract-driven SAP development, and mission-critical system optimizations

Responsibilities

Define enterprise architecture spanning data, analytics, and AI layers including Medallion Architecture adoption
Design scalable data models supporting business intelligence, advanced analytics, and AI/ML workloads
Develop frameworks for Data Object/Products Catalogs and Data Marketplace in a Data Lakehouse Architecture
Align transactional, analytical, and AI consumption layers leveraging SAP and Non-SAP enterprise platforms/tools
Translate business needs into architecture
Align Business and Information Technology (IT) Stakeholders on transitional and end state architecture
Build enterprise knowledge graph across business domains in SAP and Enterprise Business Systems Business Segments- Align Core Data Services (CDS) Views, Datasphere models, and semantic layers
Enable relationship modeling, lineage, and AI enrichment including semantic search and reasoning
Architect, Design and Deploy CSN-based models for consumption within SAP and Non-SAP applications landscape
Design AI-ready data architecture across SAP and non-SAP ecosystems
Integrate with Databricks and/or Snowflake platform foundation
Enable Large Language Models (LLM)-based use cases (RAG, embeddings, vector search)
Build Artificial Intelligence AI-ready datasets and feature pipelines
Integrate knowledge graph with AI systems for semantic reasoning
Define governance framework for data products including fine grains role and attribute based access controls
Ensure lineage, metadata, quality, and compliance using capabilities
Enable data stewardship and Data cataloging/Data Marketplace
Enhance HANA and Data Lakehouse pushdown optimization
Optimize SQL, SparQL and pipeline performance tuning