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Staff Data Engineer

Bangalore, India
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 building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. Our data engineering group is based in our Bangalore, India office. In this role, you will work on customer-facing and Glean employee-facing analytics initiatives:

Customer-facing analytics initiatives: Customers rely on in-product dashboards and if they have the willingness and resources, self-serve data analytics to understand how Glean’s being used at their company in order to get a better sense of Glean’s ROI and partner with Glean to increase user adoption. 

You’re expected to partner with backend and data science to maintain and improve the data platform behind these operations

  • reflect usage on new features
  • reflect changes on the underlying product usage logs on existing features
  • identify and close data quality issues, e.g. gaps with internal tracking, and backfill the changes
  • triage issues customers report to us within appropriate SLAs
  • help close customer-facing technical documentation gaps 

You will:

  • Help improve the availability of high-value upstream raw data by 
    • channeling inputs from data science and business intelligence to identify biggest gaps in data foundations
    • partnering with Go-to-Market & Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software
    • partnering with Product Engineering teams as they craft product logging initiatives & processes
  • Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs.
  • Ensure and maintain the quality and availability of internally used tables within reasonable SLAs
  • Own and improve the reliability, efficiency and scalability of ETL tooling, including but not limited to dbt, BigQuery, Sigma. This includes identifying implementing and disseminating best practices as well.

About you:

  • You have 9+ yrs of work experience in software/data engineering (former is strongly preferred) as a bachelor degree holder. This requirement is 7+ for masters degree holders and 5+ for PhD Degree holders.
  • You’ve served as a tech lead and mentored several data engineers before.
  • Customer-facing analytics initiatives:
    • You have experience in architecting, implementing and maintaining robust data platform solutions for external-facing data products.
    • You have experience with implementing and maintaining large-scale data processing tools like Beam and Spark.
    • You have experience working with stakeholders and peers from different time zones and roles, e.g. ENG, PM, data science, GTM, often as the main data engineering point of contact.
  • Internal-facing analytics initiatives:
    • You have experience in full-cycle data warehousing projects, including requirements analysis, proof-of-concepts, design, development, testing, and implementation
    • You have experience in database designing, architecture, and cost-efficient scaling
    • You have experience with cloud-based data tools like BigQuery and dbt
    • You have experience with data pipelining tools like Airbyte, Apache, Stitch, Hevo Data, and Fivetran
  • General qualifications:
    • You have a high degree of proficiency with SQL and are able to set best practices and up-level our growing SQL user base within the organization
    • You are proficient in at least one of Python, Java and Golang.
    • You are familiar with cloud computing services like GCP and/or AWS.
    • You are concise and precise in written and verbal communication. Technical documentation is your strong suit. 
  • You are a particularly good fit if:
    • You have 1+ years of tech lead management experience. Note this is distinct from having a tech lead experience, and involves formally managing others.
    • You have experience working with customers directly in a B2B setting.
    • You have experience with Salesforce, Marketo, and Google Analytics.
    • You have experience in distributed data processing & storage, e.g. HDFS

Location:

  • This role is hybrid (3 days a week in our Bangalore office)

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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