Senior Platform Engineer – Azure

Role: Senior Platform Engineer – Azure

Location: Pan India

Experience: 7+ Years

Immediate Joiners Only

Job Description

Key Responsibilities

• Platform Engineering & Enablement
• Design and build cloud-native data platforms using Azure Databricks
• Enable platform capabilities for data ingestion, transformation, and analytics
• Standardize reusable platform frameworks and services
• Support onboarding of new data products and use cases

________________________________________

• Infrastructure & Environment Management
• Provision and manage Dev, Test, and Prod environments in Azure
• Implement infrastructure-as-code (Terraform / ARM templates)
• Manage Databricks workspaces, clusters, and storage integrations (ADLS)
• Ensure environment isolation, scalability, and cost optimization

Enterprise platforms require environment isolation, governance, and standardized provisioning [Azure_Data...m_Handover | PDF]

________________________________________

• CI/CD & Automation
• Build and maintain CI/CD pipelines for platform and data workloads
• Automate deployment, environment promotion, and release management
• Enable DevOps practices for Data Engineering and AI pipelines
• Reduce manual operations through automation and self-service capabilities

________________________________________

• Observability, Monitoring & Reliability
• Implement monitoring, logging, and alerting frameworks
• Ensure platform reliability through:

o Incident management

o Root cause analysis (RCA)

o Performance tuning

• Build dashboards for system health, usage, and cost tracking

Platform roles require monitoring, instrumentation, and proactive issue resolution for production systems [Cloud Plat...gineer, Sr | Word]

________________________________________

• Security, Governance & Compliance
• Implement RBAC, access control, and data security policies
• Enforce governance using Unity Catalog / Purview
• Ensure compliance with HIPAA, HITRUST, and enterprise policies
• Support auditability, lineage, and secure data access patterns

________________________________________

• Collaboration & Stakeholder Engagement
• Partner with:

o Data Engineering

o AI/ML Engineering

o Architecture and Security teams

• Enable a self-service platform for engineering teams
• Support enterprise programs with stable and scalable platform infrastructure

________________________________________

Required Skills

• Strong experience with:

o Azure Databricks (Mandatory)

o Azure Cloud Services (ADF, ADLS, Synapse, Key Vault)

• Hands-on expertise in:

o Infrastructure-as-Code (Terraform preferred)

o CI/CD tools (Azure DevOps, GitHub)

o Cluster management, compute optimization, and cost control

• Experience with:

o Monitoring tools (Azure Monitor, logging frameworks)

o Platform automation and DevOps practices

________________________________________

Preferred Skills

• Experience with:

o DataOps / MLOps platform enablement

o Multi-cloud environments (Azure + GCP/Snowflake)

• Familiarity with:

o Medallion architecture (Bronze–Silver–Gold)

o Streaming / real-time processing frameworks

________________________________________

Domain Experience (Good to Have)

• Experience in US Healthcare domain:

o Claims, Member, Provider data

• Understanding of:

o Regulatory and compliance-driven data environments