Databricks Platform Engineer (AWS)

Vanguard; Hyderabad; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Hybrid working model

Total Rewards program

Wellness support

Job summary

Vanguard India in Hyderabad seeks an experienced Databricks Platform Engineer to lead advanced Databricks deployments on AWS, automate provisioning, and drive enterprise adoption. You will partner with data engineers and stakeholders to deliver secure, scalable lakehouse solutions.

The role emphasizes platform engineering, CI/CD, and governance within a hybrid work model in Hyderabad. Bachelor’s degree and 5+ years required.

Qualifications

• Minimum 5 years of cloud engineering, infra mgmt, or cloud operations.
• Bachelor’s degree in CS/IT or equivalent experience.
• Strong Databricks administration and platform engineering experience.
• Expertise in AWS, Terraform, IaC, and automation.
• Experience with CI/CD pipelines and GitHub Actions/Jenkins.
• Proficiency in Python, SQL, TypeScript, REST APIs.
• Experience with enterprise-scale production platforms.

Responsibilities

• Provision and configure Databricks Accounts, Workspaces, Unity Catalog.
• Design, deploy, and manage multi-environment platforms with Terraform/CloudFormation.
• Configure and manage AWS services and security controls.
• Govern Unity Catalog and data governance features.
• Enable observability and operational monitoring for platform reliability.
• Analyze usage patterns and optimize costs for platform efficiency.
• Support migration of AI/ML workloads onto Databricks.
• Automate deployment of notebooks, jobs, and pipelines.
• Collaborate with engineers and stakeholders to meet requirements.
• Advise on Databricks platform adoption and usage.

Skills

Databricks administration

Platform engineering

AWS

Terraform

CI/CD

Python

SQL

REST APIs

RBAC / security

Git integration

Linux / Cloud fundamentals

Agile / Scrum

Education

Bachelor’s degree in Computer Science/IT

Tools

Databricks CLI

Databricks Asset Bundles (DAB)

Terraform

CloudFormation

GitHub Actions

Jenkins

Python

SQL

Job description

Provides advanced level technical support for complex projects. Troubleshoots, diagnoses, and resolves hardware or software issues that span multiple technology domains, as elevated from the team. Develops technical standards and documentation.

About Vanguard

Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

Vanguard India

Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary

This role provides advanced level technical platform development and support for complex projects. An ideal candidate for this role is a platform-focused databricks expert (5-8 years of experience) who can build, secure, automate, and operate Databricks on AWS, work directly with clients and stakeholders, solve complex platform challenges, and drive enterprise-wide adoption of Databricks capabilities

Responsibilities

• Provision and configure Databricks Accounts, Workspaces, Unity Catalog, and supporting AWS infrastructure.
• Design, deploy, and manage multi-environment platforms (Dev/Test/Prod) and automate platform provisioning and configuration using Terraform and CloudFormation.
• Configure and manage AWS services including VPC, Subnets, Security Groups, IAM, KMS, S3, Lambda, EC2, ECS, RDS, CloudWatch, resolving WIZ violations and related cloud services.
• Implement and govern Unity Catalog, including metastores, catalogs, schemas, external locations, storage credentials, dashboards, Databricks Apps and fine-grained access controls to enable secure data sharing and enterprise data governance.
• Implement observability and operational monitoring using Databricks System Tables, audit logs, cluster logs, usage metrics, and cloud monitoring solutions to improve platform reliability and user experience.
• Analyze platform usage patterns, cluster utilization, DBU consumption, and infrastructure costs to identify optimization opportunities and implement cost governance controls.
• Support migration, onboarding, and enablement of enterprise applications, data engineering workloads, AI/ML platforms, and GenAI use cases onto Databricks while adhering to architecture and security standards.
• Leverage Databricks Asset Bundles (DAB), Databricks CLI, REST APIs, Git integration, and CI/CD pipelines to automate deployment and lifecycle management of notebooks, jobs, workflows, and platform configurations.
• Enable AI/ML and GenAI capabilities, including MLflow, Model Serving, Feature Store, Vector Search, and Mosaic AI, while supporting governance, monitoring, and operationalization of machine learning workloads.
• Implement and govern Unity Catalog, including metastores, catalogs, schemas, external locations, storage credentials, and fine-grained access controls.
• Enable audit logging, lineage tracking, data access governance, and platform monitoring to meet enterprise standards and analyze DBU consumption, cluster usage patterns, and AWS infrastructure spend to identify optimization opportunities and implement cost governance controls.
• Provide hands‑on troubleshooting and operational support for platform, integration challenges and troubleshoot infrastructure, networking, security, authentication, and connectivity issues.
• Partner directly with application teams, data engineers, data scientists, architects, and business stakeholders to understand business requirements and recommend platform solutions.
• Act as a trusted advisor and primary point of contact for Databricks platform capabilities and adoption.

Qualifications and Skills

• Minimum 5 years of experience in cloud engineering, infrastructure management, or cloud operations.
• Bachelor’s degree (B.E./B.Tech in Computer Science/IT) or equivalent experience.
• Strong experience with Databricks administration and platform engineering.
• Deep understanding of Databricks platform components including Unity Catalog, Workflows, SQL Warehouses, Cluster Policies, Delta Lake, Auto Loader, Structured Streaming, and Lakehouse architectures.
• Hands‑on experience with Databricks Asset Bundles (DAB), Databricks CLI, REST APIs, Git integration, and platform automation.
• Expertise in AWS services including VPC, IAM, EC2, S3, KMS, Lambda, RDS, CloudWatch, and cloud networking.
• Hands‑on experience with Terraform, CloudFormation, Infrastructure as Code (IaC), and automation frameworks.
• Strong understanding of RBAC, governance, security controls, and enterprise compliance requirements.
• Experience implementing and supporting CI/CD pipelines using GitHub Actions, Jenkins, or equivalent tools.
• Proficiency in Python, SQL, Type Script, REST APIs, and scripting for platform automation.
• Experience supporting enterprise‑scale production platforms and mission‑critical workloads.
• Hands‑on expertise with GitHub, Bitbucket/Bamboo, AWS Services, Cloud based databases, CI/CD, Pipeline Development, Cloud Platform Development, Cloud Based Application Development
• Experience Senior Engineer, being able to work independently, passionate about solving points of pain for developer community , scrum/agile methodologies
• Strong troubleshooting skills in cloud infrastructure, networking, security best practices, and performance optimization

Preferred Qualifications / Certifications

• Databricks Certified Platform Administrator, Data Engineer Associate, or Data Engineer Professional.
• AWS Solutions Architect Associate/Professional.
• Experience supporting AI/ML and GenAI platforms including ML flow, Model Serving, Feature Store, Vector Search, and Mosaic AI.
• Experience working in regulated or highly governed enterprise environments.

Location

This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Our commitment to you

Vanguard takes the same long‑term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:

Financial wellness

We're committed to enabling your financial success and provide competitive offers and programs.

Physical wellness

We're committed to providing benefits that support your physical health and wellness.

Personal wellness

We're committed to providing resources that help support the full scope of your life.

How We Work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in‑person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience.