Senior Data Engineer, Internal Data Platform & Analytics

Bengaluru, Karnataka

About the role

<div class="content-intro"><div><span style="font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;"><strong>About Glean:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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 - 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.</span></div></div><div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><strong>

About

the Role:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">We are looking for an individual-contributor Data Engineer to help build and operate Glean’s internal data platform. </span><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">This is an internal-facing data platform role focused on analytics engineering for Glean’s internal teams and not customer-facing implementation.

The role </span><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">will focus on reliable, governed, cost-efficient data infrastructure and analytics foundations used by internal teams across the company. </span><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">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. </span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><strong>You will:</strong></span></div> <div> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Build and maintain reliable batch and API-based data ingestion pipelines.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Improve data quality through testing, continuous integration (CI) checks, ownership metadata, and clear layer boundaries.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Operate and improve BigQuery data infrastructure with an emphasis on performance and cost efficiency.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Implement data access controls, governance workflows, and safe self-serve access patterns.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Improve pipeline observability, failure classification, incident triage, and recovery processes.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">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.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Participate in design reviews, code reviews, documentation, and operational support for the data platform.</span></li> </ul> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><strong>About you:</strong></span></div> <div> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Minimum experience: 7–10 years overall, including at least 7 years of data engineering experience.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Strong Data engineering fundamentals and experience building production data systems.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">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</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience with SQL and Python, or comparable programming languages.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience with a cloud data warehouse, preferably BigQuery or a similar platform.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience with data transformation frameworks such as DBT, including testing and deployment workflows.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">In Depth Understanding of Columnar File systems like parquet, Hudi Or Iceberg.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Understanding of dimensional modeling, data contracts, lineage, and data quality practices.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience designing or operating APIs, batch pipelines, or event-driven ingestion systems.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Ability to communicate technical trade-offs clearly and work effectively with internal stakeholders.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Ownership mindset: you can take a problem from discovery through implementation, rollout, and operational follow-through.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Ability to maintain a productive collaboration between IST and US PST time zones</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience with BigQuery governance, IAM/RBAC, policy tags, masking, streaming systems or cost controls.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience building reusable data platform frameworks rather than one-off pipelines.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Familiarity with semantic layers, metric stores, or systems that make trusted data consumable by AI and analytics tools.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience with data observability, orchestration, CI/CD, or infrastructure-as-code.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">Experience working in a fast-growing company where

requirements and priorities evolve quickly.</li> </ul> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><strong>Location:</strong></span></div> <div> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">This role is hybrid (4 days a week in our Bangalore office)</span></li> </ul> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);"><strong>

Compensation &

Benefits:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">

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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">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.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0);">#LI-HYBRID</span></div><div class="content-conclusion"><div> </div> <div><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>AI-First Mindset at Glean:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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. <strong>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. </strong>Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.</span></div> <div> </div> <div><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>Global Data Privacy Notice for Job Candidates and Applicants:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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 <a href="https://www.glean.com/privacy"><strong>Privacy Policy</strong></a>. 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 <a href="https://www.glean.com/arbitrationagreement"><strong>Applicant Arbitration Agreement</strong></a>.</span></div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><br>By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the <a href="https://www.glean.com/arbitrationagreement"><strong>Applicant Arbitration Agreement</strong></a>, and I agree to the terms.  </span></div></div>

About Glean

Glean develops an AI-based search engine software that connects enterprise data and generates answers through a tool in any company. It provides an AI assistant and enterprise search platform called Workplace Search that connects to internal data sources to help employees find information and answer questions.

The platform uses advanced search, retrieval, augmented generation, and large language models to generate personalized answers.

Other roles at Glean

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Job details

Location

Bengaluru, Karnataka

Company

NameGlean
IndustryAgentic AI
Team Size5

Funding

Total raised

$725M

Last stage

Growth

Investors

Kleiner Perkins
Lightspeed Venture Partners
Sequoia Capital
AAltimeter
DST Global

Founders

Arvind Jain

Arvind Jain

Founder

LinkedIn
TG

Tony Gentilcore

Co-Founder & Head of Product Engineering

VR

Vishwanath T R

Co-Founder

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.