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
- Solid 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

To Apply : Fill out this form : https://forms.clickup.com/(phone hidden)/f/8cmbxzc-6093/S4ANHI2OCJMZHTNBCB

📌 Senior Azure Data Platform Engineer (India)
🏢 Crescenza Consulting Group
📍 India