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MS Fabric Data Architect
Job in
Llanelli, Carmarthenshire, SA15, Wales, UK
Listed on 2026-02-16
Listing for:
Intellias
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
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Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future!
Required Experience & Skills- 5+ years with Azure SQL Data Warehouse / Synapse dedicated SQL pools or similar MPP DW.
- Strong T-SQL skills (complex queries, DDL/DML, performance tuning).
- Solid data warehousing background (facts/dimensions, SCDs, star/snowflake).
- Hands-on ETL/ELT experience with Azure Data Factory / Synapse pipelines or similar.
- Working knowledge of Microsoft Fabric (Warehouse, Lakehouse, One Lake, Data Factory, work spaces).
- Proven track record in data platform migrations (on-prem or cloud → modern DW/lakehouse).
- Experience mentoring or leading engineers, defining standards and reviewing designs.
- Strong communication skills; able to explain options and trade-offs to non-technical stakeholders.
- Nice to Have
- Production experience with Fabric (shortcuts, notebooks, Delta-based Lakehouse workloads).
- Strong Power BI skills (models on Fabric Warehouse/Lakehouse, Direct Lake).
- Dev Ops/CI-CD for data platforms (Git integration, automated deployments).
- Familiarity with Microsoft Purview or other catalog/lineage tools.
- Microsoft certifications (Azure Data Engineer, Solutions Architect, Power BI, Fabric when available).
- Guide the team through assessment of the current SQL DW/Synapse environment, dependencies, and risks.
- Define the target Fabric architecture (Warehouse vs Lakehouse, One Lake layout, environments).
- Create a migration playbook: standards, templates, and reusable patterns for schema, data, and pipelines.
- Provide hands-on support on complex areas: T-SQL refactoring, schema migration, initial & incremental loads.
- Help re-platform or design Data Factory / pipeline solutions in Fabric.
- Establish data validation and performance patterns (row counts, checksums, query parity).
- Set and socialize security & governance patterns (RBAC, RLS/CLS, sensitivity labels, dev/test/prod).
- Coach, mentor, and perform code/pipeline reviews, raising the team’s Fabric skills.
- Communicate status, risks, and technical decisions to engineering and business stakeholders.
- Mid-Senior level
- Full-time
- Consulting
- IT Services and IT Consulting
We’re committed to diversity and equal opportunity. Applications are welcome from all qualified individuals.
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