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Grow with us. Lead with us.

At Pioneer, you'll work directly with executive teams, solving complex problems and shaping strategies that reset what's possible. Sometimes the work is headline-worthy. Sometimes it's foundational. But every project earns trust - and earns us the right to take on more. You'll get the kind of access, challenge, and growth found at big firms - while helping build a company that's scaling fast and guided by what we value.

If you're looking for meaning, momentum, and a seat at the table, you're in the right place.

We are seeking an experienced SAP Cloud Data & AI Solutions Architect to lead the design and implementation of modern enterprise data platforms centered around the SAP ecosystem. This role will architect integrated solutions leveraging SAP's strategic cloud technologies including SAP Master Data Governance (MDG), SAP Analytics Cloud (SAC), SAP Datasphere, SAP Knowledge Graph / Knowledge Core capabilities, Joule AI, and lakehouse architectures integrated with platforms such as Databricks, Microsoft Azure, Amazon Web Services, and Snowflake. 

The ideal candidate combines deep SAP functional and technical expertise with modern cloud data architecture capabilities, enterprise integration experience, and emerging AI enablement strategies. This consultant will work directly with executive stakeholders, enterprise architects, ERP transformation teams, data engineering organizations, and business leaders to define scalable, governed, and AI-enabled enterprise data ecosystems. 

Key Responsibilities 

SAP Data Cloud Architecture 

• Architect enterprise SAP-centric data platforms supporting operational reporting, advanced analytics, AI, and enterprise integration use cases.  

• Design end-to-end architectures leveraging:  SAP Datasphere, SAP Analytics Cloud (SAC), SAP Master Data Governance (MDG)  -- (Nice to Have), SAP Business Technology Platform (BTP), SAP Knowledge Graph / Knowledge Core capabilities, SAP Joule AI services  

• Define hybrid architectures integrating SAP operational systems with modern lakehouse and cloud data platforms.  

• Establish scalable patterns for enterprise semantic modeling, data virtualization, replication, harmonization, and federation.  

SAP ERP & Enterprise Integration 

• Design data architectures supporting SAP ECC and SAP S/4HANA ecosystems.  

• Define integration patterns between SAP and non-SAP systems including:  CRM platforms, Manufacturing systems (MES), PLM solutions, Data warehouses and lakehouses, AI/ML platforms, Third-party SaaS applications  

• Architect enterprise data flows utilizing:  SAP SLT, SAP Data Intelligence, SAP Integration Suite, APIs and event-based architectures  

• Collaborate with ERP transformation teams to ensure scalable and future-ready data models.  

Master Data Management & Governance 

• Design enterprise master data strategies  

• Define governance models, stewardship workflows, and data quality controls across critical domains:  Customer, Supplier, Material Master, Finance, Manufacturing, Product and asset hierarchies  

• Architect data lineage, metadata, and cataloging solutions aligned with enterprise governance standards.  

• Support regulatory, compliance, and audit requirements through governed data architectures.  

Analytics & Semantic Modeling 

• Design enterprise analytics architectures using SAP Analytics Cloud and complementary BI ecosystems.  

• Develop semantic layer strategies supporting self-service analytics and KPI standardization.  

• Define approaches for:  Embedded analytics, Executive dashboards, Operational reporting, Predictive analytics, Planning and forecasting  
• Collaborate with business stakeholders to align data products with enterprise decision-making needs.  

AI & Intelligent Data Platforms 

• Architect AI-enabled enterprise data ecosystems leveraging SAP Joule and Knowledge Core capabilities.  

• Design retrieval-augmented generation (RAG), vectorization, and enterprise knowledge architectures.  

• Define integration patterns between SAP data environments and AI platforms including:  Databricks AI/ML, Azure AI Services, AWS AI/ML services, Open-source AI frameworks  

• Establish governance and security approaches for enterprise AI workloads.  

• Identify and prioritize AI use cases enabled through SAP business data.  

Lakehouse & Cloud Platform Architecture 

• Design enterprise lakehouse architectures integrating SAP and non-SAP data sources.  

• Architect scalable processing and storage patterns using:  Databricks Delta Lake, Snowflake, Azure Data Lake, AWS S3-based architectures  

• Define ingestion, transformation, orchestration, and serving patterns for enterprise-scale workloads.  

• Collaborate with infrastructure and security teams on cloud networking, identity, and platform governance.  

Consulting & Leadership 

• Lead architecture workshops, roadmap sessions, and executive strategy discussions.  

• Translate business objectives into scalable technical architectures and implementation roadmaps.  

• Mentor delivery teams across data engineering, analytics, governance, and SAP functional domains.  

• Provide thought leadership around SAP's evolving data and AI strategy.  

• Support business development, proposal creation, and client presentations.  

Requirements

• 5+ years of experience in enterprise SAP architecture, data platforms, or analytics ecosystems.  
• Deep expertise with SAP technologies including:  
• SAP S/4HANA  
• SAP ECC  
• SAP Datasphere  
• SAP Analytics Cloud (SAC)  
• SAP MDG  (nice to have) 
• SAP BTP  
• Strong understanding of SAP business processes across:  
• Finance  
• Supply Chain  
• Manufacturing  
• Procurement  
• Sales & Distribution  
• Experience designing enterprise data architectures and cloud-native data platforms.  
• Strong understanding of enterprise integration and data governance principles.  
• Experience leading client-facing consulting engagements and architecture programs.  

• Preferred Qualifications 
• Experience with modern data platforms including:  Databricks, Snowflake, Microsoft Fabric, AWS Redshift  
• Experience with cloud ecosystems: Microsoft Azure, AWS, Google Cloud Platform (GCP)
• Familiarity with AI/ML architecture concepts including:  RAG architectures, Vector databases, LLM integration, AI governance  
• Experience with data catalog and governance platforms such as:  Collibra, Alation, Microsoft Purview  
• SAP and cloud certifications preferred. 

• Pioneer Minneapolis Office: 212 N 3rd Ave, Suite 327, Minneapolis, MN 55401 

• Pioneer Denver Office: 1801 Wewatta Street, Denver, CO 80202 #LI-EH1

Benefits

The estimated salary range for this role is $123,000-212,000 annually, based on a wide array of factors including skillset, years of experience, and role scope. Compensation may vary by location. Bonuses and other incentives are awarded at the Company's discretion and are based upon individual contributions and overall company performance. 

Pioneer offers a comprehensive benefits package including meaningful time off and paid holidays, parental leave, 401(k) with employer match, tuition reimbursement, and a broad range of health and welfare benefits including medical, dental, vision, life, and short- and long-term disability.