Senior Azure Data Platform Engineer

Description :

We are seeking a highly skilled Senior Azure Data Platform Engineer with strong hands-on experience in Snowflake Cloud Data Warehouse, Azure Data Factory, Azure PaaS services, and Power BI.

The ideal candidate will design, build, secure, and optimize enterprise-scale cloud data platforms, working closely with architects, analytics teams, and business stakeholders to deliver secure, high-performance, and scalable data solutions.

Key Responsibilities :

Snowflake Cloud Data Warehouse :

Design, configure, and manage Snowflake environments, including :

- Security integrations (SSO, RBAC, OAuth)

- Storage integrations and external stages

- PrivateLink connectivity

- Database, schema, and object lifecycle management

- Virtual warehouse sizing, cost optimization, and performance tuning

- Implement data governance, access controls, and audit best practices

Azure Data Factory (ADF) :

Design and develop ADF pipelines using :

- Linked Services, Datasets, Data Flows

- Integration Runtimes (Azure, Self-Hosted)

- Managed Private Endpoints

- Troubleshoot pipeline failures, performance bottlenecks, and connectivity issues

- Implement parameterized, reusable, and CI/CD-friendly pipelines

Azure PaaS & Networking :

Work extensively with Azure PaaS services, including :

- Azure SQL Database

- Azure Storage Accounts (Blob, Files, ADLS Gen2)

- Logic Apps

- Azure Key Vault

- Configure Private Endpoints, VNets, Subnets, NSGs, and secure service-to-service connectivity.

- Manage secrets, certificates, and keys using Azure Key Vault

Databases & SQL Technologies :

Strong hands-on experience with :

- T-SQL, Azure SQL, Snowflake SQL, Oracle SQL

Manage and optimize :

- SQL Server databases

- SQL Jobs, Replication, Stored Procedures

- Linked Servers, ODBC data sources

- Integration Services (SSIS)

- Perform performance tuning, indexing, and query optimization.

Power BI & Analytics :

- Develop Power BI Desktop reports and datasets.

- Publish and manage reports in Power BI Service

- Configure gateways, refresh schedules, workspace security, and performance optimization

Automation & Scripting :

Use PowerShell for automation, monitoring, and operational tasks.

- Support DevOps practices for data platforms (version control, deployments, monitoring)

Required Skills & Qualifications :

Must-Have Skills :

- 6+ years of experience in Data Engineering / Data Platform roles

- Strong expertise in Snowflake Cloud Data Warehouse

- Hands-on experience with Azure Data Factory

- Deep understanding of Azure PaaS services and private networking

- Strong SQL skills across Azure SQL, Snowflake, Oracle

- Experience with Power BI Desktop & Power BI Service

- Solid troubleshooting and performance-tuning skills

Nice-to-Have :

- Experience with CI/CD for data pipelines

- Knowledge of Azure Monitor, Log Analytics, and cost optimization

- Exposure to enterprise security and compliance requirements

- Experience working in consulting or client-facing environments

Soft Skills :

- Strong problem-solving and analytical skills

- Excellent communication with technical and non-technical stakeholders

- Ability to work independently and in cross-functional teams

- Ownership mindset and attention to detail