Lead Data Engineer, Circle K

Circle K

Location:
India, Gurugram

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. At Circle K, we are building a best-in-class global data engineering practice to support intelligent business decision-making and drive value across our retail ecosystem. As we scale our engineering capabilities, we’re seeking a Lead Data Engineer to serve as both a technical leader and people coach for our India-based Data Enablement pod. This role will oversee the design, delivery, and maintenance of critical cross-functional datasets and reusable data assets while also managing a group of talented engineers in India. This position plays a dual role: contributing hands-on to engineering execution while mentoring and developing engineers in their technical careers.

Job Responsibility:

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Requirements:

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Hands on experience in Databases like (Azure SQL DB, Snowflake, MySQL/, Cosmos DB etc.), File system (Blob Storage), Python/Unix shell Scripting
ADF, Databricks and Azure certification is a plus

Nice to have:

Certifications in Azure, Databricks, or Snowflake
ADF, Databricks and Azure certification

Additional Information:

Job Posted:
May 30, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Lead Data Engineer