Lead Engineer

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Lead Data Engineer (L5) – Python & Azure

Job Overview :

We are seeking a highly skilled Lead Data Engineer with deep expertise in

Microsoft Azure data ecosystem to design, develop, and maintain scalable data

pipelines and architectures. The ideal candidate will play a key role in building robust

data solutions that support advanced analytics, BI, and AI workloads across the

organization. This role involves working with cross-functional teams — data scientists,

analysts, and business stakeholders — to ensure high-quality, secure, and performant

data delivery.

Total experience : 10+ years

Key Responsibilities :

1. Data Architecture & Solution Design

• Architect end-to-end data solutions on Azure, leveraging services like Azure Data

Factory, Azure Databricks, Azure Synapse Analytics, and ADLS Gen2.

Medallion (Bronze–Silver–Gold) architectures.

structured, semi-structured, and unstructured data.

compliance frameworks.

2. Data Pipeline Development & Optimization

Factory (ADF) and Azure Databricks (PySpark).

Stream Analytics.

and analytics teams.

optimize performance.

infrastructure as code.

3. Data Governance & Quality Management

metadata, and stewardship.

transformation stages.

and classification.

RBAC, AAD, and Key Vault.

detection.

4. Technical Leadership & Team Management

career development.

and consistency.

priorities.

engineering team.