Tech Lead Manager - Data Engineering

About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

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 entirely based in our Bangalore, India office.

Glean Data Engineering Has Two Mandates

• our customer-facing data platform akin to a data platform software ENG team
• 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:

• ~25% of your time will go into supporting senior-level data engineers to help grow them from a technical & career perspective.
• ~75% of your time will go into hands on work in the following areas:

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
• partnering 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.

You Will

• 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 12+ yrs of work experience in software/data engineering (former is strongly preferred) as a bachelor degree holder.
• 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.

About You

• 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
• You have experience with cross-function collaboration with US partners.
• You’re comfortable reporting to org leaders who themselves are not data engineers. This is a role where you represent Glean’s only data ENG team.

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.