Principal Data Platform Engineer (Bengaluru)

United States Digital Space LLC; Bengaluru; On-site; INR 4,200,000 - 6,400,000; Full time

Job summary

United States Digital Space LLC is seeking a Principal Data Engineer to lead our internal AI data platform strategy. You will own technical vision, security standards, and scalable architecture that powers AI-driven data products.

You will partner with product and security teams to deliver robust data governance, automation, and compliant data access at scale, shaping the foundation for future growth.

Qualifications

• 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products.
• Deep mastery of data platforms and architecture across cloud apps such as Snowflake, Databricks, and AWS.
• Strong governance, security, and data quality focus in modern data stacks.

Responsibilities

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
• Design and implement a robust security and governance framework for high-compliance standards.
• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys).
• Implement and manage infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) for secure deployments.
• Set the bar for engineering excellence, driving code quality, system design, and operational readiness.
• Collaborate with Principal Product Manager to provide architectural guidance and feasibility analyses.
• Communicate technical vision and trade-offs to senior leadership and cross-functional teams.
• Collaborate with AI, security, and analytics teams to meet business needs.

Skills

Data engineering

Data platform architecture

Cloud data stack

Cross-functional collaboration

Tools

Snowflake

Databricks

AWS

dbt

Airflow

Fivetran

Terraform

Job description

**Secure Every Identity, from AI to Human

**Identity is the key to unlocking the potential of AI. the company secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the company

At the company, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

the company is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.

This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at the company.

What You’ll Do

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.

• Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.

• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.

• Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.

• Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.

• Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.

• Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.

• Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.

What You Bring

• Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.

• Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.

• Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.

• Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.

• Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.

What Success Looks Like

• A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.

• Robust, automated data governance and security frameworks embedded into the platform's core architecture.

• A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.

• Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

The the company Experience

the company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding pleaseuse this Form to request an accommodation.

Notice for New York City Applicants & Employees: the company may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, pleaseclick here to view our full NYC AEDT Notice.