Description

Enable Data seeking an experienced Azure Data Architect with robust hands-on engineering expertise to design, develop, optimize, and modernize enterprise-scale data platforms. The role combines solution architecture, technical leadership, and individual contributor responsibilities, requiring deep expertise in Azure data services, data engineering best practices, and large-scale data processing using PySpark, Python, SQL, and Azure Databricks.

The ideal candidate will be responsible for analyzing existing data products and pipelines, identifying improvement opportunities, leading refactoring and redesign initiatives, and implementing scalable, reliable, and high-performance data solutions on Azure.

Responsibilities
Architecture & Solution Design
Overall 15+ years of experience with 10+ years of experience in Data Engineering and Analytics solutions.
Design end-to-end data architectures on Microsoft Azure.
Define data ingestion, transformation, storage, governance, and consumption strategies.
Create scalable, secure, and cost-effective data solutions aligned with business objectives.
Establish architectural standards, design patterns, and best practices for data engineering teams.
Collaborate with business stakeholders, product owners,



and technical teams to translate requirements into technical solutions.
Design, develop, and modernize enterprise data platforms on Azure. Analyze, refactor, and redesign existing data pipelines and products while building recent scalable data solutions.
Act as a hands-on individual contributor with technical leadership responsibilities, including mentoring junior developers and driving best practices.
Solid hands-on experience in PySpark, Python, and SQL
Expertise in Azure Databricks and Azure data ecosystem
Experience designing and implementing scalable data architectures
Ability to analyze, optimize, refactor, and redesign existing data pipelines
Develop and maintain ETL/ELT solutions and data products
Performance tuning, troubleshooting, and data quality implementation
Mentor and guide junior developers and conduct code reviews
Collaborate with cross-functional teams to deliver end-to-end data solutions
Required Experience

Requirements
Azure Data Lake, Azure Data Factory, Azure Synapse
Data warehousing, lakehouse architecture, and cloud migration
CI/CD, Git, and Agile development practices
Role Type: Senior Individual Contributor with Technical Leadership responsibilities.

📌 Lead Data Engineer/ Data Architect Hyderabad (India)
🏢 Important Group
📍 India