Lead Data Engineer

Posted 7 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Senior level
eCommerce • Retail • Software
The Role
Lead the design, development, and scaling of a digital experience analytics platform. Build data foundations and AI-driven decision systems using Azure, Databricks, dbt, Python, SQL, and cloud data technologies. Guide junior engineers, collaborate with product and analytics teams, support data architecture, modeling, governance, quality, and operationalization, and coordinate cloud deployments and technical delivery across onsite and offshore teams.
Summary Generated by Built In
Role Overview

We are seeking a highly skilled Lead Data Engineer to design, build, and scale our next-generation Digital Experience Analytics & Insights platform, who can guide and mentor other junior engineers to build a strong high performing team.

You will collaborate closely with data engineers, product managers, and analytics teams to create data foundations and AI-driven decision systems that maximize business impact while ensuring scalability and technical excellence.

Requirements

Expected Qualifications

  • 6 – 10 years of relevant experience in Azure Data Engineering.
  • Minimum 2 years of experience working with Adobe Analytics.
  • Strong Agentic AI Experience in Databricks and expertise in DBT framework for data transformation and processing.
  • Proficiency in Python for data engineering and automation tasks.
  • 6-10 years strong hands-on experience with SQL for querying and data manipulation.
  • Linux scripting experience for data ingestion and manipulation.
  • Strong experience in data architecture, data modeling, data quality and governance, and working knowledge on data warehouses such as Snowflake, for data processing and operationalization
  • Excellent problem-solving skills and ability to work independently.
  • Strong communication skills to collaborate with technical and non-technical teams who can efficiently work in onsite-offshore model
  • Collaborates with other cloud teams for deployment on Azure or GCP
  • Knowledge of CI/CD, DevOps, and Infrastructure as Code (IaC) practices is an advantage
  • Experience working with Azure Data Factory (ADF), Azure Data Lake, and PowerBI is a plus.
  • Prior experience in e-commerce domain is a plus


Skills Required

  • 6–10 years of relevant Azure Data Engineering experience
  • At least 2 years of experience working with Adobe Analytics
  • Strong Agentic AI experience in Databricks
  • Expertise with the dbt framework for data transformation and processing
  • Proficiency in Python for data engineering and automation
  • 6–10 years of hands-on SQL experience for querying and data manipulation
  • Linux scripting experience for data ingestion and manipulation
  • Experience with data architecture, data modeling, data quality, and data governance
  • Working knowledge of data warehouses such as Snowflake
  • Excellent problem-solving skills and ability to work independently
  • Strong communication and collaboration skills with technical and non-technical teams
  • Experience collaborating with cloud teams for Azure or GCP deployments
  • Knowledge of CI/CD, DevOps, and Infrastructure as Code practices
  • Experience with Azure Data Factory, Azure Data Lake, and Power BI
  • Prior e-commerce domain experience
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The Company
HQ: Framingham, MA
12,060 Employees
Year Founded: 1986

What We Do

Staples India is Staples’ technology and innovation hub in Chennai, building platforms, systems, and digital solutions that support the company’s global operations and future of work. Staples serves consumers and businesses with workplace products and services, including office supplies, janitorial products, technology, furniture, breakroom essentials, print and marketing, shipping, travel, and promotional offerings. Its India teams focus on engineering, eCommerce, process optimization, and enterprise solutions.

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