Senior Azure Data Engineer

Key Responsibilities
Design, develop, implement, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks
Build and maintain efficient ETL/ELT processes for structured and unstructured data sources
Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms
Develop secure, maintainable, high-quality, and scalable data solutions following engineering best practices
Create and optimize complex SQL queries, database objects, stored procedures, views, and batch processing solutions
Design and implement data models that support reporting, analytics, and operational business requirements
Evaluate, recommend, and implement Azure-native technologies to improve platform performance, scalability, and reliability
Support cloud migration initiatives and modernize legacy data environments
Design and maintain CI/CD pipelines using Azure DevOps and Git-based source control practices
Ensure data engineering solutions align with enterprise architecture standards, security requirements, and governance policies
Collaborate with business stakeholders, analysts, architects, and development teams to translate business requirements into technical solutions
Lead technical design discussions and contribute to architectural decisions across data platforms
Conduct code reviews and promote engineering best practices, quality standards, and continuous improvement
Mentor junior engineers and provide technical guidance to team members
Communicate complex technical concepts effectively to technical and non-technical audiences
Troubleshoot and resolve issues across data pipelines, databases, integrations, and cloud services
Monitor and optimize data platform performance, reliability, and cost efficiency
Stay current with emerging technologies, industry trends, and Azure best practices
Contribute to technical documentation, standards development, and knowledge-sharing initiatives
Required Qualifications
8+ years of experience
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
Skills
Microsoft Azure Cloud Services
Azure Databricks
PySpark
SQL Development
Azure Data Factory (ADF)
Azure SQL Database
Azure Synapse Analytics (SQL DW)
Python
Azure DevOps
Git/GitHub Source Control
Data Lake and Data Warehouse Architecture
REST APIs and Data Integrations
Data File Formats (Delta Lake, Parquet, JSON, Avro)
Data Warehousing
Data Engineering
Database Design
Cloud Migration
Technical Design Leadership
Code Review Facilitation
Mentoring and Coaching
Stakeholder Management
Technical Documentation
Agile Delivery
Troubleshooting and Issue Resolution
Schedule
Start date: 2026-11-09