Data Architect
Gaming Innovation Group · St Julians
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Jul 21, 2026
St Julians
Jul 23, 2026
What this job asks for AI summary
A full-time role within a data engineering team in the iGaming sector, focused on assessing the current data platform, defining future-state architectures, and performing gap analysis. The position involves close collaboration with engineering leads and enterprise architects to design data warehouses, lakes, and pipelines across cloud platforms, while also contributing to effort sizing, coding standards, and peer review processes. Suits an experienced data architect with strong SQL, ETL/ELT, and cloud platform knowledge.
Senior level · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (8)
Role is located in Malta — US benchmark compensation and candidate-pool data will not apply.
The posting title is 'Data Architect' but the body consistently frames the role as 'Big Data Architect', indicating a data platform / data engineering architecture focus rather than a pure database administration role.
Cloud platform requirement lists AWS, Azure, and GCP together as a group ('cloud data platforms (AWS, Azure, GCP) and related services'); AWS is used as the primary skill name with Azure and GCP as alternatives since the posting treats them interchangeably.
No overall years-of-experience figure is stated anywhere in the posting.
No compensation figures are provided; the only monetary figure mentioned is a 350 EUR/year health and wellbeing benefit.
Data governance, lineage, and metadata management are listed under a 'Familiarity with' qualifier, so they are treated as preferred rather than hard gates.
Streaming technologies appear under 'Understanding of modern data stacks and streaming technologies' — framed as understanding rather than hands-on expertise, so treated as preferred.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data governance.
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