Data Engineering Architect - Azure
Role details
Job location
Tech stack
Job description
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Azure Synapse Analytics / Dedicated SQL Pools
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Azure Databricks / Spark
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ADLS Gen2, Azure SQL DB, Managed Instance
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Event Hub / Kafka, Stream Analytics (if real-time involved)
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Monitoring & observability:
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Azure Monitor, Log Analytics, Application Insights
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Security & identity:
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Azure AD, Managed Identity, Key Vault, RBAC
Engineering Practices
- CI/CD practices for data pipelines; Git branching strategies and release governance.
- Strong documentation skills: architecture diagrams, solution designs, operational runbooks.
Requirements
NOTE: Looking for candidates from UK only with valid work permit Skills: Must-Have (Strong)
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12-16 years of overall IT experience with significant data engineering & architecture exposure.
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Strong Azure Cloud Data Engineering and associated services architecture knowledge
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Deep hands-on experience with:
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Azure Data Factory (ADF) - pipeline design, orchestration, integration runtime strategy
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SQL - advanced querying, stored procedures, performance tuning
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Strong troubleshooting skills for complex multi-system data issues.
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Strong understanding of data architecture concepts:
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Data lakes/lakehouse/warehouse, dimensional modeling, ELT/ETL patterns
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Batch orchestration, dependency management, SCD handling, incremental loads
Azure Ecosystem (Preferred / Good to Have)
- Azure data services experience in one or more