SAP Data Solutions Architect

Overview

Accepts corp to corp applications
Contract - W2
Contract - 1 year

Skills

SAP
ERP
Enterprise Resource Planning
HANA
Finance
Procurement
Inventory
Inventory Management
Supply Chain
Operations
Logistics
Data Management
Migrations
Forecasting
Data Migration
Governance
Database Modeling
Business Intelligence
Metadata
Data Governance
Power Bi
Data Quality
MuleSoft
Master Data Management
Informatica
Data Modeling
Reference Data
Data Structures
Data Transformation
EDM
BOM
Taxonomy
Engineering Operations
SAP Solution Architect
Data Architect

Job Details

Job Title: SAP Data Solutions Architect

Location: Santa Clara, CA (onsite)

Job Type: Contract (C2C or 1099) or Full Time (W2)

Duration: 1 year

Client: Hi-Tech

We are seeking a Senior Business Solutions Architect - Enterprise Data Management for our client's IT Business Applications team which supports master & reference data required to support Operations and Engineering Operations businesses. This role would require working very closely with various business and cross-functional IT teams that include, planning, inventory management, Engineering and Finance, with primary focus on Data needed for end to end Supply Chain Management processes.

What you'll be doing:

  • Define and implement a unified enterprise data and governance strategy to support manufacturing and supply chain operations.

  • Establish governance frameworks (taxonomy, policies, stewardship councils, KPIs) and publish data quality scorecards.

  • Enable planning, sourcing, procurement, manufacturing, inventory, sales/O2C, logistics, and finance with clean, standardized master data.

  • Drive consistency in product, BOM, routing, and engineering data across PLM, ERP, and shop-floor systems.

  • Serve as lead architect for enterprise data solutions across SAP MDG, S/4HANA, ECC, Informatica MDM, Databricks, PLM, and SFDC.

  • Lead ECC-to-S/4HANA migrations, ensuring data harmonization, cleansing, and transformation.

  • Implement automation and AI/ML-ready data structures to enhance supply chain and operational processes.

  • Partner with BI/AI teams to improve data accessibility, forecasting, and insight-driven decision-making.

What we need to see:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

  • 12+ years of experience in Enterprise Data Management (EDM), Data Governance, and Solution Architecture within manufacturing and Hi-tech supply chains.

  • Expertise in SAP ECC, S/4HANA, SAP MDG (Product, BOM, Business Partner, Customer, Vendor), and Informatica MDM/CDGC.

  • Proven track record in designing and implementing data governance frameworks, ERP transformations, and end-to-end supply chain integrations.

  • Hands-on skills in data modeling, data engineering, and metadata management.

  • Background in data quality, cleansing, and KPI-driven monitoring.

  • Familiarity with modern data platforms and integration tools, including Databricks, SAP CPI, MuleSoft, Informatica (CAI/CDI/CID-R) and HANA analytics platforms (Power BI)

  • Knowledge of AI/ML readiness for supply chain optimization and advanced analytics enablement.

  • Demonstrated ability to influence senior leadership, drive cross-functional consensus, and deliver enterprise-scale data transformation initiatives.

Ways to stand out from the crowd:

  • Multiple end-to-end lifecycle implementations in Data and SAP domain

  • S/4 HANA implementation and Data migration experience

  • Semi-Conductor industry Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.