Posted on: 04/06/2026
Job Description :
- A minimum of 5 years proven experience delivering complex technical change within data, digital, or technology led environments
- Understanding of data platform methodologies and architecture approaches (Kimball, Inmon, Data Vault, Data Mesh, Data Products, Lakehouse's, etc.)
- The ability to document architectural designs in the form of conceptual, logical and physical models
- Ability to discuss enterprise data and the impact on a business including master data management, data quality, data literacy and initiatives such a single customer view
- Ability to present technical solutions in a way that engages both technical and non-technical stakeholders
- Technical Skills : Microsoft Azure , Databricks , Snowflake, Microsoft Fabric, Azure Synapse Analytics , Data Engineering, Data Modelling, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure, Application Integration
- Experienced in the delivery of complex data & AI solutions
- Strategic and operational decision-making skills
- Ability to guide, direct or influence people
- Ability to identify opportunities and issues
- Willingness to learn based on feedback
- Able to help others develop
- Willingness to stay up to date with the latest trends, technologies and best practices
- Experience working within agile, fast-moving environments
Education & Certifications :
- SnowPro Advanced : Data Engineer
- SnowPro Advanced : Architect
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1641702