About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys most advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search an AI Assistant and scalable AI agents on one secure open platform. With over 100 enterprise SaaS connectors flexible LLM choice and robust APIs Glean gives organizations the infrastructure to govern scale and customize AI across their entire business - without vendor lock-in or costly implementation cycles.

At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.

Recognized by Rapid Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.

If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more. Youll be deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.

About the Role:

We are looking for an individual-contributor Data Engineer to help build and operate Gleans internal data platform. This is an internal-facing data platform role focused on analytics engineering for Gleans internal teams and not customer-facing implementation. The role will focus on reliable governed cost-efficient data infrastructure and analytics foundations used by internal teams across the company. You will work across data ingestion transformation modeling quality access governance and platform reliability.



This role is hands-on and well suited to an engineer who enjoys turning ambiguous data problems into durable systems and clear operating standards. This is an in-person role based in Bangalore India with regular office presence expected.

You will:

- Build and maintain reliable batch and API-based data ingestion pipelines.
- Improve data quality through testing continuous integration (CI) checks ownership metadata and clear layer boundaries.
- Operate and improve BigQuery data infrastructure with an emphasis on performance and cost efficiency.
- Implement data access controls governance workflows and safe self-serve access patterns.
- Improve pipeline observability failure classification incident triage and recovery processes.
- Partner with Data Science Business Intelligence Finance Sales Operations Marketing Security Reliability Engineering and other internal teams to understand data needs and deliver reusable platform capabilities.
- Participate in design reviews code reviews documentation and operational support for the data platform.

About you:

- Minimum experience: 710 years overall including at least 7 years of data engineering experience.
- Strong Data engineering fundamentals and experience building production data systems.
- An exceptionally high AI proficiency through habitual high-value use of LLMs; sound judgment about when and how to apply them; rigorous validation and workflow improvement
- Experience with SQL and Python or comparable programming languages.
- Experience with a cloud data warehouse preferably BigQuery or a similar platform.
- Experience with data transformation frameworks such as DBT including testing and deployment workflows.
- In Depth Understanding of Columnar File systems like parquet Hudi Or Iceberg.
- Understanding of dimensional modeling data contracts lineage and data quality practices.
- Experience designing or operating APIs batch pipelines or event-driven ingestion systems.
- Ability to communicate technical trade-offs clearly and work effectively with internal stakeholders.
- Ownership mindset:



you can take a problem from discovery through implementation rollout and operational follow-through.
- Ability to maintain a productive collaboration between IST and US PST time zones
- Experience with BigQuery governance IAM/RBAC policy tags masking streaming systems or cost controls.
- Experience building reusable data platform frameworks rather than one-off pipelines.
- Familiarity with semantic layers metric stores or systems that make trusted data consumable by AI and analytics tools.
- Experience with data observability orchestration CI/CD or infrastructure-as-code.
- Experience working in a fast-growing company where requirements and priorities evolve quickly.

Location:

- This role is hybrid (4 days a week in our Bangalore office)

Compensation & Benefits:

Compensation offered will be determined by factors such as location level job-related knowledge skills and experience. Certain roles may be eligible for variable compensation equity and benefits.

Were committed to building and sustaining a diverse inclusive workplace. We strive to attract and retain people with a wide range of backgrounds experiences and perspectives and we do not discriminate on the basis of gender ethnicity sexual orientation religion civil or family status age disability or race.

#LI-HYBRID

AI-First Mindset at Glean:

At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.

By clicking Submit Application I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement and I agree to the terms.

Required Experience:

Senior IC

📌 Senior Data Engineer, Internal Data Platform & Analytics (Bengaluru)
🏢 Glean
📍 Bengaluru