Data Architect
First seen by Alion on Oct 9, 2026.
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.
Skills
Data Architect, PIM, STIBO, Data Modeling, Data Governance, Snowflake DB, MDM, Data Integration, Master Data Services