Latest AI JobsBrowse Jobs
Glean logo

Senior Data Engineer - Internal Data Platform & Analytics

GleanBangalore, IndiaData
Apply on company site
Salary
Not listed
Job type
Full-time
Experience
Senior · 7+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Bangalore, India, this hybrid role requires regular office presence and suits an experienced data professional focused on internal platform architecture. The position involves designing and maintaining internal data infrastructure, analytics engineering foundations, and governance workflows for internal teams.

Role Overview

Glean is hiring a Senior Data Engineer for its internal data platform and analytics team. This is an individual contributor position based in Bangalore, India, requiring four days a week in the office. The role centers on building and operating internal data infrastructure rather than customer-facing implementations, partnering with various internal departments to establish reliable and cost-efficient data operations.

Key Responsibilities

Build and maintain dependable batch and API-based data ingestion pipelines.
Enhance data quality through testing, continuous integration checks, and ownership metadata.
Manage and optimize BigQuery data infrastructure focusing on performance and cost management.
Establish data access controls, governance workflows, and secure self-service access.
Elevate pipeline observability, failure classification, and incident recovery procedures.
Collaborate with internal stakeholders across data science, business intelligence, finance, sales, marketing, security, and reliability engineering.
Take part in design reviews, code reviews, technical documentation, and operational support.

Requirements

Seven to ten years of total professional experience, with a minimum of seven years dedicated to data engineering.
Strong foundational knowledge in data engineering and production data systems.
High proficiency in using large language models with sound judgment for validation and workflows.
Practical coding proficiency in SQL and Python or comparable languages.
Background working with cloud data warehouses, preferably BigQuery.
Experience utilizing data transformation frameworks such as dbt for testing and deployment.
Deep understanding of columnar file systems like Parquet, Hudi, or Iceberg.
Familiarity with dimensional modeling, data contracts, lineage, and quality standards.
Ability to design and operate APIs, batch pipelines, or event-driven ingestion.
Communication skills suited for technical trade-offs and cross-functional collaboration with US PST time zones.

Nice to Have

Experience with BigQuery governance, IAM, RBAC, policy tags, masking, streaming systems, or cost controls.
Background in building reusable data platform frameworks instead of isolated pipelines.
Familiarity with semantic layers, metric stores, and consumable data systems for AI and analytics.
Experience handling data observability, orchestration, CI/CD, or infrastructure-as-code.
Previous work history inside fast-growing companies with rapidly shifting priorities.

Skills and Tools

SQL
Python
BigQuery
dbt
Parquet
Hudi
Iceberg
APIs
CI/CD
Large Language Models

Salary and Benefits

Compensation is determined by location, level, job knowledge, skills, and experience, and may include variable compensation, equity, and benefits depending on the role.

About the Company

Glean provides a Work AI platform featuring enterprise search, an assistant, and scalable AI agents on an open platform with enterprise connectors and flexible LLM choices. Recognized globally for innovation in artificial intelligence, the organization operates across multiple countries with a large team supporting global enterprises.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

SQLPythonBigQuerydbtParquetHudiIcebergLLMLLMs

Questions candidates ask

Where is this job located?

This role is hybrid and based in Bangalore, India, requiring regular office presence four days a week.

How many years of experience are required?

Candidates must have 7 to 10 years of overall experience, including at least 7 years focused specifically on data engineering.

Is this a customer-facing role?

No, this is an internal-facing data platform role focused on analytics engineering for internal teams.

What technical skills are expected?

Required skills include SQL, Python, cloud data warehouses like BigQuery, dbt, columnar file systems, and dimensional modeling.

What timezone collaboration is necessary?

The candidate must maintain productive collaboration between Indian Standard Time (IST) and US Pacific Standard Time (PST) time zones.

Ready to apply?

The application is on the official Glean careers page.

Apply on company site