Azure Synapse Analytics

data warehouse, analytics, big data
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Back in the day, data warehousing meant monolithic beasts and ETL pipelines that resembled spaghetti junction. Then came the cloud, and suddenly everyone needed a “limitless” analytics service. Azure Synapse Analytics arrived as Microsoft’s attempt to unify data integration, data warehousing, and big data analytics – a noble goal, if a little ambitious. It’s essentially the lovechild of Azure SQL Data Warehouse and Azure Data Lake Analytics, promising a single platform for all your data needs.

The reality? It’s powerful, certainly, but requires a significant investment in learning and configuration. While it can handle everything, mastering the various compute engines—Spark, SQL pools, data flows—feels like becoming fluent in several programming languages simultaneously. Competitors like Snowflake offer a simpler, more managed experience, though at a cost. Synapse is gaining traction with enterprises already heavily invested in the Microsoft ecosystem, but convincing anyone else to jump ship requires demonstrating tangible benefits beyond just checking all the boxes.

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579

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Jobs in using Azure Synapse Analytics for but please no

analytics engineer

Ingénieur Data & Information Protection Microsoft (H/F) @ devoteam-cyber-trust

FR | 2025-12-27
Devoteam’s Microsoft-centric Data & Information Protection Engineer role is a governance and security engineer with a data tilt. It expects you to own data governance, GDPR/CCPA compliance, and... read more »
Cloud Computing, AI/ML, AWS, Microsoft, Fabric, GDPR/CCPA, Azure, Data Lakehouse, Power BI, Databricks, SQL, Synapse, ADF, Snowflake, SAP, GitLab
analytics engineer

Consultant Data Modeling - F/H @ onepoint

FR | 2025-12-23
Onepoint seeks a seasoned data modeler with at least four years of experience, tasked with designing and optimizing data architectures across various cloud platforms and solutions. Their... read more »
AI/ML, Data Management, Data Analytics, Data Science, Data Modelling, DWH, Data Lake, Data Lakehouse, FinOps, Cloud Computing, Azure, AWS, GCP, Databricks, Snowflake, Synapse, BigQuery, Data Engineering, Data Vault, SQL, Agile/Scrum, Management