Senior Data Engineer

Overview

Senior Platform Engineer who designs, builds, automates and operates the shared data and AI platform capabilities used by engineering, analytics, governance and AI teams, with technical leadership for platform reliability and developer enablement.

What you'll do

• Design and implement secure, scalable platform services for Databricks, Azure Data Lake, Microsoft Fabric and supporting cloud services.
• Create reusable environment patterns for development, test and production workloads.
• Implement workspace, network, identity, storage, compute, catalog, policy and secrets-management configurations.
• Partner with Architecture and Security to translate enterprise standards into practical platform controls and reference implementations.
• Develop infrastructure-as-code modules, deployment pipelines, automated configuration and policy-as-code controls.
• Establish CI/CD patterns for data pipelines, notebooks, libraries, semantic assets and AI workloads.
• Build self-service templates and paved-road capabilities that improve delivery consistency and reduce manual provisioning.
• Maintain source-control, release, artifact, environment-promotion and rollback practices.
• Define and implement monitoring, alerting, logging, capacity, performance, availability and recovery standards.
• Lead troubleshooting and root-cause analysis for complex platform incidents and recurring reliability issues.
• Implement operational dashboards, service-level indicators, runbooks and on-call support patterns.
• Analyze platform usage and cost drivers; implement guardrails, tagging, budgets and optimization recommendations.
• Lead platform design reviews and provide technical guidance to Platform Engineers and delivery teams.
• Develop engineering standards, operating procedures, support models and platform documentation.
• Embed data governance, lineage, classification, access control and audit requirements into platform capabilities.
• Evaluate platform features and emerging technologies, recommending pragmatic adoption paths aligned with business outcomes.

What you'll need

• 2–4 years of experience in information security or cloud engineering, with at least 1–2 years working with Azure.
• Strong understanding of core security principles (identity, access control, encryption, network security).
• Hands-on experience with Azure security services, including Microsoft Defender for Cloud.
• Hands-on experience with Azure security services, including Azure Sentinel (SIEM).
• Hands-on experience with Azure security services, including Azure Policy and Blueprints.
• Hands-on experience with Azure security services, including Azure AD security features (MFA, Conditional Access, PIM).
• Ability to collaborate and communicate effectively with cross-functional teams.
• Hands-on experience configuring, integrating and operating leading cloud security tools such as CrowdStrike, Wiz, Prisma Cloud, or similar solutions for threat detection, posture management and compliance.

Nice to have

• Certification such as Microsoft Certified: Azure Security Engineer Associate (AZ-500).
• Experience with Infrastructure-as-Code (Terraform, Bicep) for secure deployments.
• Exposure to DevSecOps practices and CI/CD pipeline security.

Details

• Location: Bangalore, India.