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.
What You’ll Do
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
What You Bring
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/4HANA 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
Nice to Have
SAP BW or CDS views experience
Familiarity with BI tools (Power BI, Tableau, Looker)
Exposure to AI/ML data pipelines or data mesh concepts
Why This Role
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.