Data Architect

Lead the design and implementation of enterprise‑grade data models, with a strong focus on Kimball dimensional modeling and star schemas
Develop and maintain conceptual, logical, and physical data models aligned with business and analytics needs
Collaborate with Data Analysts, Business Stakeholders, and Data Governance teams to ensure model accuracy and compliance
Architect and optimize end‑to‑end data pipelines for efficient data ingestion, transformation, and integration
Translate complex business and analytics requirements into scalable data architecture solutions
Support real‑time and historical analytics use cases across industrial and CPG domains

Core Data Architecture & Modeling Skills:
Strong expertise in Kimball Dimensional Modeling, Star Schema, Fact & Dimension Tables
Hands-on experience with Slowly Changing Dimensions (SCD Type 1, 2, 3)
Experience with Data Warehouse Design and Enterprise Data Modeling
Knowledge of Data Vault Modeling (plus)
Ability to define Conceptual, Logical, and Physical Data Models
Cloud & Data Engineering Technologies:
Hands-on experience with Azure Data Factory (ADF)
Strong knowledge of Azure Databricks
Experience working with Azure Data Lake / ADLS
Proficiency in SQL and Python for data transformation and querying
Experience building and managing ETL/ELT pipelines
Industrial & Domain Expertise:
Strong understanding of ISA‑95, Industry 4.0, and industrial maintenance strategies
Experience working with manufacturing, industrial, or CPG data
Exposure to SAP, production and operations data, and time‑series data

We are seeking an experienced Data Architect with a strong background in Kimball dimensional modeling, enterprise data architecture, and industrial data platforms. This role focuses on designing scalable, analytics‑ready data models to support manufacturing and CPG data initiatives.
The ideal candidate will bring deep expertise in data warehouse design, star schema modeling, Azure cloud services, and industrial data standards, while collaborating closely with business, analytics, and governance teams.