Data Architect

• Client is seeking an experienced Data Architect to design and govern the data architecture for its enterprise-wide Sustainability initiative focused on product-level carbon footprint measurement.
• The architect will lead data modeling, system integration design, and best practices for building a robust, scalable, and future-ready ESG data platform using Databricks on AWS.

Key Responsibilities:

• Define and own the end-to-end data architecture for the sustainability analytics program, ensuring it meets business, technical, and ESG compliance needs.
• Design and maintain enterprise data models that integrate:
• MBOM from SAP (including explosion logic)
• EBOM from Oracle-based systems
• Supplier emissions and material data
• Factory and operational data (e.g., energy, water, waste)
• Establish data integration patterns, governance, and lineage strategies using Databricks (Delta Lake, Unity Catalog) and AWS services.
• Collaborate with data engineers, analysts, and ESG domain experts to translate carbon accounting logic into architectural design and reusable data products.
• Design and optimize data lakehouse architecture to support large-scale, performant data processing.
• Ensure data quality, consistency, and compliance with ESG reporting standards (e.g., GHG Protocol, CSRD).
• Provide architectural oversight during development and ensure alignment with enterprise data strategy.

Technical Requirements:

• 10+ years of experience in data architecture, with at least 3+ years on cloud platforms (preferably AWS)
• Deep expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse architecture)
• Strong knowledge of data modeling (dimensional, normalized, semantic) and metadata management
• Experience with SAP ECC/S/4HANA BOM structures and integration patterns
• Understanding of Oracle-based EBOM systems and PLM data models
• Familiarity with ESG/sustainability data, carbon accounting concepts, and supply chain data structures
• Strong hands-on experience with AWS services like S3, Glue, Athena, and Lambda

Preferred Qualifications:

• Experience in sustainability data architecture or ESG analytics
• Familiarity with data governance frameworks, data cataloging, and lineage tracking
• Knowledge of carbon emission calculation methods, product lifecycle analysis (LCA), or ESG reporting systems
• Excellent communication and stakeholder collaboration skills