In this role you will lead the strategic transformation to a cloud-based data platform and will be responsible for governing and scaling the data ecosystem.

The ideal candidate combines deep and extensive technical and architectural expertise with strong understanding of business processes, vendor management, and program leadership.

Responsibilities

• Develop a deep understanding of the existing data landscape (DWH & models, ETL process, Power BI semantic models & datasets), its architectural gaps, scalability constraints, and data quality risks.
• Lead the evaluation, selection, and implementation of a cloud-based data platform.
• Manage external implementation partners and consulting teams. Own technical, commercial, and architectural decision making.
• Monitor project scope, budget, timelines, risks, dependencies, and deliverables.
• Optimize cloud infrastructure, storage, and operational costs and maintain performance and scalability.
  
  

Requirements

• 5+ years of the following
• SQL – advanced SQL and relational database expertise including SSIS, stored procedures, views
• ETL/ELT – experience with building and orchestrating pipelines and frameworks
• Architecture – proven experience with cloud data warehousing, data lakes, and lakehouse architecture
• Data modelling – proven ability to translate complex business processes into conceptual, logical, physical, dimensional, and semantic data models designed for BI/AI consumption
• Power BI – hands on expertise with DAX and performance optimization
• Data Governance – extensive knowledge of metadata management, data quality, and lineage Cloud Data Platforms (Snowflake, Microsoft Fabric, AWS RDS) – experience managing performance, storage, compute and cost optimization
• ERP Systems – Priority ERP including REST API / OData integration and data extraction patterns
• Collaboration tools — Microsoft Teams, Atlassian Jira, GitHub.
• AI-assisted development – experience working with LLMs, prompt engineering, or Claude Code – advantage.