Senior Azure Data Platform & Infrastructure Engineer (Pune)

Senior Azure Data Platform & Infrastructure Engineer (Pune)

05 Aug
|
Hoonartek
|
Pune

05 Aug

Hoonartek

Pune

Pune

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

We are looking for a highly hands-on, proactive Azure Platform Engineer with strong expertise in Azure infrastructure, networking, and modern data platforms (Azure Databricks & Synapse).

The ideal candidate is deeply technical, operationally robust, and eager to learn and adapt quickly in a fast-paced enterprise environment.

Key Responsibilities

1. Azure Databricks & Synapse Administration

- Administer Azure Databricks workspaces across Dev, UAT, and Production
- Manage:Clusters & job clusters
Cluster policies
Workspace permissions & access control
Service principals & identities





- Implement and support Unity Catalog:Storage credentials
External locations
Catalogs, schemas, and permissions

- Support Azure Synapse Analytics:Workspace configuration
SQL pools & Spark pools
Secure data access and integration with ADLS

2. Azure Infrastructure & Platform Management

- Manage core Azure services:Resource Groups
VNets, NSGs, Route Tables (UDRs)
Private Endpoints & Private Link
Storage Accounts (ADLS Gen2)
Azure SQL Database / Synapse SQL
Azure Data Factory
Azure Key Vault

- Build secure, scalable, and production-ready infrastructure

3. Networking & Enterprise Security

- Design and support Hub-Spoke architecture
- Configure and manage:Azure Firewall (policies, DNAT/SNAT, traffic inspection)
Network routing and UDRs

- Integrate with enterprise firewalls:Palo Alto / Fortinet / Check Point

- Enable hybrid connectivity:ExpressRoute
VPN Gateway

- Manage:Private DNS Zones
Cross-network name resolution

4. Infrastructure as Code & DevOps

- Implement infrastructure using Terraform (AzureRM provider)
- Build and manage Azure DevOps CI/CD pipelines
- Deploy:Infrastructure (Terraform)
Databricks Asset Bundles

- Validate deployment plans and identify:Risky changes (deletes/replacements)
Security or permission issues

5. Security & Identity Management

- Configure secure access using:Azure RBAC
Managed Identities
Service Principals

- Integrate Key Vault for secrets management
- Implement enterprise-grade security controls and governance

6. Private & Secure Data Platform Connectivity

- Implement private networking for:Databricks
Storage (ADLS Gen2)
Key Vault
Azure SQL / Synapse
Logic Apps / Data Factory





- Ensure zero public exposure architectures

7. Monitoring & Operations

- Monitor platform using:Azure Monitor
Log Analytics
Diagnostic logs & alerts

- Write and optimize KQL queries
- Troubleshoot:Networking issues
Identity/authentication problems
CI/CD failures
Data platform runtime issues

8. Documentation & Standards

- Maintain:Runbooks
Architecture diagrams
Networking diagrams
Deployment standards

- Enforce:Naming conventions
Tagging standards
Compliance policies

✅ Refined Required Skills

Core Must-Haves

- Strong Azure administration (hands-on)
- Deep experience with:Azure Databricks (Admin + Governance)
Azure Synapse Analytics

- Strong knowledge of:Hub-Spoke networking
Azure Firewall & network security
Private Endpoints & DNS

Infrastructure & DevOps

- Terraform (AzureRM provider) – strong hands-on
- Azure DevOps (CI/CD pipelines)
- Databricks deployments:Asset Bundles / CLI

Networking (Critical Skill)

- UDRs, NSGs
- ExpressRoute & VPN Gateway
- Private DNS zones
- Enterprise firewall integration

Security & Identity

- Azure RBAC
- Managed Identities
- Service Principals
- Key Vault

Data Platform Expertise

- ADLS Gen2
- Azure SQL / Synapse SQL
- Azure Data Factory
- Unity Catalog (must-have)

✅ Additional Skills to ADD (Important Improvement)

To match your expectation of a strong, production-ready engineer, I recommend adding:

Strongly Recommended Additions

- ✅ Experience with Azure Synapse end-to-end workloads
- ✅ Experience with Delta Lake / modern data lake architecture
- ✅ Exposure to data security & governance frameworks
- ✅ Experience in multi-environment promotion strategies (Dev Prod)
- ✅ Hands-on troubleshooting across:Infra + Data + Networking layers

Nice-to-Have (Upgrade the JD)

- Experience with:Terraform automation (Atlantis / GitOps)
Azure Policy & Compliance frameworks
Cost optimization (FinOps awareness)

- Scripting:Python or PowerShell

- Performance optimization:Databricks clusters
Synapse queries

📌 Senior Azure Data Platform & Infrastructure Engineer (Pune)
🏢 Hoonartek
📍 Pune

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