Sr. Azure Data Engineer Technical Lead
Overview
Own Azure data infrastructure and drive technical strategy for large scale data pipelines. Lead a distributed team of 5 engineers delivering robust solutions. Differentiate by shaping cloud native architecture and mentoring junior staff.
What You'll Do11
- 1Design and implement scalable ETL pipelines using Azure Data Factory and Apache Spark
- 2Lead architecture decisions for Microsoft Fabric integration across hybrid environments
- 3Ship and optimize data streaming solutions using Kafka and Event Hubs
- 4Drive performance improvements through debugging and tuning of data workflows
- 5Mentor and guide 2 onsite Data Engineers and 3 offshore engineers in India
- 6Collaborate with product teams to define data governance and quality standards
- 7Automate infrastructure provisioning with Terraform and CI/CD pipelines
- 8Monitor and maintain high availability of data platforms using Azure Monitor
- 9Deliver actionable insights by building dashboards with Power BI
- 10Ensure compliance with security best practices using Azure Active Directory
- 11Contribute to open source projects that enhance cloud data engineering capabilities
Requirements11
- 15+ years experience building enterprise data pipelines with Spark and Airflow
- 23-5 seasons leading technical teams in cloud environments
- 3Certified Azure Data Engineer credential required
- 4Expertise in Microsoft Fabric architecture mandatory
- 5Proficiency with Kubernetes and container orchestration skills needed
- 6Hands-on experience with Azure Data Factory and Data Lake Analytics
- 7Strong leadership abilities demonstrated through managing cross functional teams
- 8Familiarity with Kafka messaging systems essential for real time processing
- 9Advanced SQL and Python programming skills required
- 10Experience with Azure Synapse analytics platform preferred
- 11Excellent communication skills for stakeholder collaboration
Salary Insight
$70k per year
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