Job Description:

Summary
This role focuses on architecting and developing scalable solutions in Snowflake and Power BI, with an emphasis on data modeling, transformation orchestration, and analytics. The ideal candidate is proactive, self-driven, and able to shape the BI landscape for manufacturing and financial data domains.
Main Responsibilities

• Design and implement star schemas and data models for Snowflake, tailored to manufacturing KPIs, maintenance, safety, and logistics datasets.
• Write transformation code across the Snowflake medallion architecture using DBT (raw, transformed, reporting layers).
• Own master data management for fact and dimension tables in Snowflake.
• Develop and automate KPI calculations leveraging Snowflake native tooling (Dynamic Tables, Tasks, Streams).
• Build, optimize, and publish Power BI datasets and dashboards, enabling efficient connectivity and semantic modeling from Snowflake.
• Lead workshops and knowledge-sharing sessions on Snowflake and Power BI best practices for Lindt’s BI teams.
• Help drive the adoption and scaling of Snowflake and Power BI, influencing ways of working locally and globally.
• Use Azure DevOps, Azure Repos, Snowflake Schemachange, and Streamlit in daily technical routines.
• Collaborate effectively; proactively propose process and architectural improvements.
• Manufacturing process knowledge is a plus, not a must. ETL tool ownership (HighByte, Lobster Data) is covered by other team members.
• Technical Skills Priority
• Advanced proficiency in Snowflake, DBT, SQL, Power BI (DAX, modeling, gateway configuration), Azure DevOps, Azure Repo, Streamlit, and Schemachange.
• Experience designing data warehouses, star schema, and handling master data management.
• Power BI dashboard development, dataset optimization, and best practice enablement.
• Excellent communication and workshop facilitation skills.
   

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