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Data Architect

Zorba Consulting
8 - 12 Years
Multiple Locations

Posted on: 09/10/2026

Job Description

Role Overview :

We are looking for an experienced Data Architect to define the data model and technical architecture supporting a large-scale data governance and product data harmonization initiative.

The role will be responsible for designing how product data is structured, standardized, and harmonized across SAP, Stibo, Snowflake, and R&D specification sources.

Key Responsibilities :

- Define and document the master data model and detailed data requirements across SAP, Stibo, and Snowflake.

- Design data structures representing complex product hierarchies, including finished-goods-to-component BOM relationships.

- Design data harmonization, integration, and staging architecture in Snowflake across multiple source systems.

- Define how data should flow from SAP, Stibo, R&D specifications, and other enterprise sources into analytical and downstream platforms.

- Perform detailed impact analysis for proposed data structure and identifier changes, such as GTIN standardization.

- Assess the impact of data changes on downstream applications, integrations, analytics, reporting, and business processes.

- Identify data dependencies, risks, and architectural considerations before implementation.

- Work with business, product, data governance, engineering, and IT teams to gather requirements and validate proposed data models.

- Present architecture recommendations, data models, and impact assessments to cross-functional stakeholders.

- Ensure data architecture supports scalability, consistency, traceability, governance, and data quality.

- Collaborate with data engineering teams to translate architectural designs into implementable data pipelines and structures.

- Ensure architectural decisions align with enterprise data governance and master data management principles.

Required Skills & Experience :

- 8 - 12 years of experience in Data Architecture, Data Engineering, or a closely related discipline.

- Strong experience designing enterprise data models and data architectures.

- Hands-on experience with Snowflake, particularly data staging, harmonization, integration, and multi-source data architectures.

- Strong understanding of data modeling and hierarchical data structures, preferably product hierarchies or BOM structures.

- Experience working with SAP data structures and enterprise ERP data.

- Working knowledge of PIM (Product Information Management) platforms; experience with Stibo is highly preferred.

- Experience integrating and harmonizing data from multiple enterprise source systems.

- Strong understanding of master data, product data, identifiers, and data standardization.

- Experience performing data impact analysis and assessing downstream dependencies resulting from data model or identifier changes.

- Strong analytical and problem-solving skills with the ability to identify data dependencies and business impacts.

- Excellent communication and stakeholder management skills.

- Ability to explain complex data architecture concepts to both technical and non-technical stakeholders.

- Experience working with large enterprise environments; CPG/FMCG experience is preferred.

Preferred Qualifications :

- Experience designing data models supporting AI-driven, agentic commerce, or Product Detail Page (PDP) initiatives.

- Experience with data cataloging and data quality platforms such as Atlan, DQLabs, Teal Labs, or equivalent tools.

- Understanding of how data architecture and metadata models feed data quality rules and governance frameworks.

- Experience with Master Data Management (MDM) initiatives.

- Experience working with product information, product taxonomy, SKU, GTIN, BOM, or similar product data domains.

- Experience with cloud data platforms and modern data architecture patterns.

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