About the Company
Our client is a global digital transformation leader with a presence in over 50 countries. Specializing in Oracle Cloud, automation, data intelligence, and enterprise consulting, they help businesses modernize their systems and accelerate innovation at scale.
Job Description
Job Title : Lead Engineer
Experience : 10+ Years
Location : Hyderabad
Job Type : [Full-time ]
Job Summary :
We’re looking for a Lead Data Engineer with deep expertise in the Microsoft Azure data ecosystem to architect, build, and optimize scalable data platforms. This role is ideal for a seasoned professional who thrives on designing modern data architectures and leading high-performing teams to deliver business-driven analytics and AI solutions.
Key Responsibilities
1. Data Architecture & Solution Design
- Architect end-to-end data solutions using Azure Data Factory, Databricks, Synapse Analytics, and ADLS Gen2.
- Design and implement modern Data Lakehouse and Medallion (Bronze–Silver–Gold) architectures.
- Define data ingestion, transformation, and storage standards for all data types.
- Align solutions with enterprise data strategy, governance, and security frameworks.
- Lead proof-of-concepts and architecture reviews for new initiatives.
2. Data Pipeline Development & Optimization
Build and maintain robust, scalable ETL / ELT pipelines using ADF and Databricks (PySpark).Implement real-time and batch data ingestion with Azure Event Hubs, Kafka, or Stream Analytics.Optimize data transformations, partitioning, indexing, and query performance.Automate workflows using CI / CD and Infrastructure-as-Code (IaC) practices.3. Data Governance & Quality Management
Establish and enforce governance standards : lineage, metadata, and stewardship.Implement data quality checks at ingestion and transformation stages.Utilize Azure Purview or Microsoft Fabric for data cataloging and compliance.Ensure data security and regulatory compliance (GDPR, HIPAA, etc.).4. Technical Leadership & Team Management
Lead and mentor a team of data engineers.Review architecture, code, and data models for quality and consistency.Define and promote best practices, reusable frameworks, and standards.Serve as the technical authority for Azure data initiatives.5. Collaboration & Business Alignment
Work closely with data scientists, BI teams, and business stakeholders.Translate business needs into scalable technical solutions.Optimize data workloads for cost, performance, and scalability.Communicate technical concepts clearly to non-technical audiences.Core Technical Skills
Azure Services : Data Factory, Databricks (PySpark, Delta Lake), Synapse Analytics, ADLS Gen2, Event Hubs / Kafka, Purview / Microsoft Fabric, Azure Functions, Logic Apps.Languages : Python (mandatory), SQL, Scala.Frameworks & Tools : PySpark, Pandas, dbt (optional), Git / GitHub, Azure DevOps, Terraform / Bicep / ARM.Data Modeling : Star / Snowflake schema, Data Vault 2.0, dimensional modeling.Databases : Azure SQL DB, Cosmos DB, PostgreSQL, SAP / Oracle integrations.Integrations : Power BI, Azure ML, external BI / AI systems.