Azure Data Engineer Lead

Job Position:
Azure Data Engineer Lead
Experience

Required:

12+ Years.

Location:

Hyderabad
Technical Skill Requirements:
Azure Data Factory (API/APIM), Azure Data Bricks, Azure Devops, Azure Data Lake storage (ADLS), SQL, Synapse data warehouse, Azure Cosmos DB, MS Fabric, Power BI

Roles & Responsibilities
- Lead the design, development, and support of large‑scale data platforms using Azure Data Factory (ADF), Azure Databricks, Azure Dev Ops, ADLS, SQL/Synapse Data Warehouse, Azure Cosmos DB, and Microsoft Fabric.
Develop, optimize, and maintain complex ETL/ELT pipelines, ensuring reliability, scalability, and high‑performance data processing.
Continuously assess existing applications and data platforms to identify architectural enhancements, modernization opportunities, and performance improvements.
Recommend and implement best practices for cloud-native data architecture, scalability, governance, and security.
Contribute to solution design reviews and collaborate with architects to ensure alignment with enterprise standards.
Manage and support high-volume, mission‑critical applications, ensuring uninterrupted operations across environments.
Lead triage calls involving cross‑functional stakeholders, ensuring timely communication and coordinated incident response.
Utilize understanding of Docker, Kubernetes, and cloud‑native workloads to support containerized deployments and operational workflows.
Leverage experience with data virtualization platforms (e.g., Denodo) for improved data accessibility and integration (if applicable).
Apply strong knowledge of ITIL processes and ITSM tools for effective incident, change, and problem management.
Maintain governance over operational processes and promote continuous improvement across teams.
Lead and mentor data engineering/operations teams, guiding technical decision‑making and ensuring high performance.
Work flexibly in rotational shifts to support 24/7 operational needs and ensure platform reliability.

Requirements
12+ years of experience in software development, technical operations, and running large-scale applications.
8+ years of experience in developing or supporting Azure Data Factory (API/APIM), Azure Databricks, Azure Dev Ops, Azure Data Lake storage (ADLS), SQL and Synapse data warehouse, Azure Cosmos DB and MS Fabric
Must have 5+ years of experience working in Data Engineering / Hands-on experience in coding
Any experience in data virtualization products like Denodo is desirable
Azure Data Engineer or Solutions Architect certification is desirable
Should have a good understanding of container platforms like Docker and Kubernetes.
Should be able to assess the application/platform time to time for architectural improvements and provide inputs to the relevant teams
Very Good troubleshooting skills (quick identification of the application issues and providing quick resolutions with no or minimal user/business impact)
Hands-on experience in working with high-volume, mission-critical applications
Deep appreciation of IT tools, techniques, systems, and solutions.
Excellent communication skills along with experience in driving triage calls which involve different technical stake holders
Has creative problem-solving skills related to cross-functional issues amidst the changing priorities.
Should be flexible and resourceful to swiftly manage the changing operational goals and demands.
Should have good experience to lead the team and manage customer expectations
Good experience in handling escalations and take complete responsibility and ownership of all critical issues to get a technical/logical closure.
Good understanding of the IT Infrastructure Library (ITIL) framework and various IT Service Management (ITSM) tools available in the marketplace.
Flexible to work in rotational shifts