---
title: 'Senior Data Engineer - Internal Data Platform & Analytics at Glean'
canonical: 'https://feeny.ai/job/senior-data-engineer-internal-data-platform-analytics-glean-bengaluru-eyz9vvrstkhz'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Data Engineer - Internal Data Platform & Analytics at Glean

- **Company:** Glean
- **Location:** Bengaluru, India
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/gleanwork/jobs/4739975005

## Job description

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s 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 Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s 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 Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll 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 Glean’s internal data platform. This is an internal-facing data platform role focused on analytics engineering for Glean’s 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: 7–10 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.

We’re 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 we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll 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 isn't 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 [Privacy Policy](https://www.glean.com/privacy). By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our [Applicant Arbitration Agreement](https://www.glean.com/arbitrationagreement).

By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the [Applicant Arbitration Agreement](https://www.glean.com/arbitrationagreement), and I agree to the terms.

## About Glean

## Company Overview
- **One-liner**: Glean provides an AI-powered Work AI platform that connects to an enterprise's data to help employees find answers, generate content, and automate work.
- **Entity Type**: Private (Series E)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2019
- **Founders**: Arvind Jain, Vishwanath T R, Tony Gentilcore, Piyush Prahladka

## Core Business
- **Primary Industry**: Enterprise AI / Work AI / Knowledge Management
- **Target Customers**: B2B, Enterprise (mid-market to large enterprises)
- **Mission/Purpose**: To make work more productive and fulfilling by giving every employee an AI assistant that understands their company's unique context, data, and permissions.

## Products & Services
- **Glean Assistant**: An AI-powered chatbot that answers questions, generates content, and takes actions based on a company's internal knowledge, with full permission awareness.
- **Glean Agents**: A horizontal agent platform that allows enterprises to build, deploy, and manage dozens of custom AI agents for automating workflows across departments.
- **Glean Search**: Enterprise-grade, AI-powered search that indexes and surfaces information from across all connected SaaS tools (Slack, Google Drive, Salesforce, etc.).
- **Glean Protect**: A security and governance layer that ensures AI outputs are permission-aware, explainable, and compliant with enterprise security standards (SOC 2, HIPAA, ISO 42001, etc.).

## Market Standing
- **Valuation**: Not publicly disclosed (latest Series E at $260M in Sept 2024).
- **Total Funding**: $768.2M across 5 rounds (Series A through E).
- **Key Metric (Revenue)**: Estimated annual revenue of $120M.
- **Key Metric (Funding)**: $768.2M total funding.
- **Notable Investors**: Lightspeed Venture Partners, Kleiner Perkins, Sequoia Capital, General Catalyst.
- **Growth Signals**: 
    - Headcount grew 65.9% year-over-year to 1,138 employees.
    - Key enterprise customers include Booking.com, Zillow, Ericsson, and TIME.
    - Claims 93% enterprise adoption in under 2 years and <6 months to ROI.
    - Active job postings at 166, up 80.4% year-over-year.

## Competitive Advantages
- **Enterprise-first architecture**: Built from day one with permission-aware search and data governance, making it suitable for compliance-heavy environments (HIPAA, SOC 2, ISO 42001, TX-RAMP).
- **Deep integrations**: Connects to 100+ enterprise SaaS tools, providing a unified knowledge layer.
- **Model flexibility**: Supports 35+ unique LLMs, allowing customers to choose the best model for each task and avoid vendor lock-in.
- **Efficiency**: Claims a 30% reduction in token usage compared to off-the-shelf MCP tools, lowering the cost to scale AI.
- **Strong talent DNA**: Founders are ex-Google (Search, Maps, YouTube) and ex-Rubrik engineers. The company has hired heavily from Google (58), Snowflake (32), and Amazon Web Services (22).

## Strategic Focus
- **Horizontal Agent Platform**: Expanding beyond search and assistant to become the platform for building and managing enterprise-wide AI agents.
- **On-Premises Deployment**: Partnering with Dell Technologies to deliver AI agents and enterprise search to on-premises environments.
- **Open Interoperability**: Partnering with Snowflake to bring structured data insights into the AI assistant.
- **Global Expansion**: Growing presence in India (Bangalore), Canada, UK, Australia, and Japan.

## Why Work Here
- **Culture**: Values are "Make it customer-driven," "Make it happen," "Make it better," and "Make it together." Emphasizes transparency, ownership, and feedback.
- **Work Model**: Hybrid – most teams are in the office four days a week and work from home for the remaining day.
- **Perks**: Flexible PTO, company-wide winter break shutdown, free daily lunch, competitive stock options, 401(k), and comprehensive medical/dental/vision coverage.
- **Learning & Development**: Offers a learning stipend for professional growth.
- **Engineering Culture**: Strong focus on AI/ML, infrastructure, and backend engineering. High concentration of talent from top tech companies (Google, Snowflake, Rubrik).
- **Growth Trajectory**: Rapidly scaling company (65% headcount growth YoY) with significant funding, providing ample opportunity for career advancement and impact.

## Sources
1. [glean.com](https://www.glean.com/)
2. [glean.com/about](https://www.glean.com/about)
3. [glean.com/careers](https://www.glean.com/careers)
4. [LinkedIn Company Page](https://www.linkedin.com/company/gleanwork)
5. [Greenhouse Job Board](http://job-boards.greenhouse.io/gleanwork)

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