We are hiring a Databricks Platform Engineer

Description

Are you passionate about building enterprisegrade data platforms that power both advanced analytics and nextgeneration Agentic AI solutions?

Join us as a Databricks Platform Engineer, where you will play a key role in engineering, scaling, and operating our enterprise Databricks platform across a highly regulated, multicloud environment. You will enable data engineers, AI/ML teams, and downstream platform consumers by building a secure,

automated, and wellgoverned data foundation.

In this role, you will work at the intersection of data engineering, platform engineering, and AI enablement.

You will design and automate cloud-native platform components, implement governance frameworks,

optimize performance, and ensure compliance with strict security and dataprivacy requirements.

What you do

Platform Engineering & Operations

- Engineer, deploy, and operate Databricks workspaces, clusters, jobs, and ML runtimes across Azure, AWS, and multi-cloud architectures.
- Build and manage automated CI/CD pipelines, infrastructure-as-code (IaC), and platform lifecycle processes (provisioning, scaling, upgrades).
- Ensure platform reliability, observability, and cost efficiency through proactive monitoring, tuning,

and optimization.

Data Platform & AI Enablement

- Enable scalable data ingestion, transformation, and processing pipelines using Delta Lake, Unity

Catalog, and Databricks Jobs/Workflows.
- Collaborate with AI/ML teams to support feature stores, model training pipelines, and data services powering Agentic AI use cases.
- Implement and maintain enterprise-wide metadata, lineage, and data quality controls.

Governance, Security & Compliance

- Ensure strong security baselines, including Identity & Access Management (IAM), network isolation, data encryption, secret management,



and secure cluster configurations.
- Implement governance guardrails aligned with regulatory, compliance, and risk frameworks (e.g.,

GDPR, financial regulations).
- Enforce platform standards, policies, cluster controls, and workspace configurations across

Operating Entities.

Automation & Tooling

- Build reusable automation components, templates, and frameworks for platform onboarding and daytoday operations.
- Support the development of monitoring dashboards, alerting systems, and platform health indicators.

Collaboration & Support

- Work with data engineers, data scientists, AI architects, cloud teams, and security teams to ensure seamless integration of Databricks with enterprise data and AI ecosystems.
- Troubleshoot platform issues and support stakeholders in building robust, scalable workloads.
- Contribute to platform documentation, best practices, and engineering playbooks.

What you bring

- Hands-on engineering experience with Databricks in enterprise environments (Azure or AWS;

multi-cloud preferred).
- Strong understanding of Delta Lake, Unity Catalog, cluster architectures, Databricks

Jobs/Workflows, and ML runtimes.
- Solid expertise in IaC tools such as Terraform, Pulumi, or ARM/Bicep, and CI/CD platforms such as GitHub Actions, Azure DevOps, or GitLab.
- Deep knowledge of data platform architecture, including ingestion pipelines, ETL/ELT patterns,

data governance, lineage, and data quality frameworks.
- Experience operating platforms in regulated, security-sensitive industries, ensuring compliance and strong platform governance.
- Familiarity with enabling AI/ML workloads, data products, feature engineering, or MLOps pipelines.
- Solid grounding in cloud-native engineering, distributed systems, and event-driven architectures.
- Ability to work collaboratively across cross-functional engineering, cloud, security, and AI teams.

📌 Databricks Platform Engineer (Pune)
🏢 Navlakha Management Services
📍 Pune