Senior Data Engineer - Internal Data Platform & Analytics
Bangalore · 7-10 years experience · Hybrid · Posted Oct 7, 2026
At a glance
- Experience
- 7-10 years experience
- Workplace
- Hybrid
- Location
- Bangalore
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 - 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
- Glean is seeking an individual-contributor Data Engineer to build and operate its internal data platform. This role focuses on analytics engineering, reliable data infrastructure, and governance to support internal teams across the company.
Responsibilities
- Build and maintain reliable batch and API-based data ingestion pipelines.
- Improve data quality through testing, 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 internal teams including Data Science, BI, Finance, Sales Operations, Marketing, Security, and Reliability Engineering.
- Participate in design reviews, code reviews, documentation, and operational support for the data platform.
Requirements
- 7–10 years of overall experience, including at least 7 years of data engineering experience.
- Strong data engineering fundamentals and experience building production data systems.
- Exceptionally high AI proficiency through habitual use of LLMs and rigorous validation.
- Experience with SQL and Python, or comparable programming languages.
- Experience with a cloud data warehouse, preferably BigQuery or similar.
- Experience with data transformation frameworks such as DBT.
- In-depth understanding of columnar file systems like Parquet, Hudi, or Iceberg.
- Understanding of dimensional modeling, data contracts, lineage, and data quality practices.
- Ability to communicate technical trade-offs and work effectively with internal stakeholders.
- Ability to maintain productive collaboration between IST and US PST time zones.
Workplace
- In-person role based in Bangalore, India.
- Hybrid work model requiring 4 days a week in the Bangalore office.
Skills
- SQL
- Python
- BigQuery
- DBT
- Parquet
- Hudi
- Iceberg
- IAM
- RBAC
- CI/CD
- Infrastructure-as-Code
