Data Architect - C2H

Overview

Data Architect Join a high-impact team shaping the future of enterprise data. This role leads the design and governance of a modern data ecosystem, driving how data flows from core ERP systems into a cloud-based analytics platform. You’ll build scalable, secure data models that power reporting, advanced analytics, and AI/ML across finance, supply chain, operations, and commercial functions.

• Define and implement enterprise data architecture standards (modeling, integration, governance)
• Design and optimize data models within a Databricks Lakehouse (Bronze/Silver/Gold layers)
• Lead modeling across key domains (finance, logistics, materials) leveraging SAP data structures
• Partner with engineering teams on ingestion, transformation, and pipeline performance
• Establish semantic layers for BI and self-service analytics
• Drive data quality, lineage, and security standards (including PII/PHI controls)
• Collaborate with business stakeholders to translate requirements into scalable solutions
• Provide architectural oversight and ensure consistency across data initiatives

• 7+ years in data architecture or data engineering (enterprise-scale environments)
• Strong experience with Databricks (Delta Lake, Unity Catalog, Lakehouse architecture)
• Deep knowledge of SAP data models (ECC or S/4
  
  HANA preferred)
• Expertise in dimensional modeling (star/snowflake schemas)
• Advanced SQL and Python skills
• Experience in cloud environments (Azure, AWS, or GCP)
• Strong understanding of data governance, security, and lineage

• SAP BW or CDS views experience
• Familiarity with BI tools (Power BI, Tableau, Looker)
• Exposure to AI/ML data pipelines or data mesh concepts

This is an opportunity to influence enterprise-wide data strategy, work with cutting-edge technologies, and partner with both technical and business leaders to deliver meaningful, scalable solutions.