Description

Solution and pipeline architecture for the Snowflake foundation and the Dataiku transformation layer

Dimensional modelling strategy across the ~15 reusable data products, and metadata-driven design of transformation services

Historical data architecture (ECC to S/4HANA alignment)

Technical governance, design reviews, standards enforcement and code-review governance for the engineering squad

Support and mentoring to delivery squads, and Perdue stakeholder discussions

Strong experience with Snowflake architecture and Dataiku DSS platform design, across data warehousing and modern data platform patterns

Design of scalable facts, dimensions and reusable domain-aligned data products, and of Dataiku transformation flows across the Prepared and Consumed layers on Snowflake

Define data models, transformation patterns, dataset standards and semantic structures; establish automation frameworks, reusable components and AI-assisted (Copilot) engineering patterns

Strong SQL and Python; performance tuning, RBAC, cost optimization, scheduling and orchestration

Understanding of SAP BW, Essbase and reporting transformation concepts.

Key Skills

Education

Any Graduate