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Tech Lead Manager - Data Engineering

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Glean

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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 entirely based in our Bangalore, India office. Glean data engineering has two mandates: 1) our customer-facing data platform akin to a data platform software ENG team 2) analytics engineering to enable our other internal SQL/pipeline/BI tool developers horizontally. In this role, you’ll serve as a tech lead manager for Glean’s one and only data engineering team.

Job Responsibility:

  • Support senior-level data engineers to help grow them from a technical & career perspective (~25% of time)
  • Hands on work (~75% of time) in: Glean employee-facing analytics initiatives
  • Help improve the availability of high-value upstream data data in 3rd party apps by channeling inputs from business intelligence to identify biggest gaps in data foundations
  • Partner with Go-to-Market & Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software
  • Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs for applications like session replays, A/B experimentation
  • 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

Requirements:

  • 1+ years of tech lead management experience
  • 12+ yrs of work experience in software/data engineering (former is strongly preferred) as a bachelor degree holder
  • Experience in architecting, implementing and maintaining robust data platform solutions for external-facing data products
  • Experience with implementing and maintaining large-scale data processing tools like Beam and Spark
  • 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
  • Experience in full-cycle data warehousing projects, including requirements analysis, proof-of-concepts, design, development, testing, and implementation
  • Experience in database designing, architecture, and cost-efficient scaling
  • Experience with cloud-based data tools like BigQuery and dbt
  • Experience with data pipelining tools like Airbyte, Apache, Stitch, Hevo Data, and Fivetran
  • High degree of proficiency with SQL and are able to set best practices and up-level our growing SQL user base within the organization
  • Proficient in at least one of Python, Java and Golang
  • Familiar with cloud computing services like GCP and/or AWS
  • Concise and precise in written and verbal communication. Technical documentation is your strong suit

Nice to have:

  • Experience working with customers directly in a B2B setting
  • Experience with Salesforce, Marketo, and Google Analytics
  • Experience in distributed data processing & storage, e.g. HDFS
  • Experience with cross-function collaboration with US partners
  • Comfortable reporting to org leaders who themselves are not data engineers

Additional Information:

Job Posted:
January 06, 2026

Work Type:
Hybrid work
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