Data Engineer Lead - Microsoft Azure Job Description Template
The Data Engineer Lead - Microsoft Azure is responsible for leading the design, implementation, and maintenance of data solutions on the Microsoft Azure platform. The role involves working closely with stakeholders to ensure data infrastructure aligns with business objectives and overseeing a team of data engineers.
Responsibilities
- Lead the design and deployment of data solutions on Microsoft Azure.
- Manage and mentor a team of data engineers.
- Collaborate with business stakeholders to understand data requirements.
- Ensure data architecture and pipelines align with business goals.
- Optimize data storage and retrieval methods for efficiency.
- Maintain and enhance data infrastructure for scalability.
- Implement best practices for data governance and security.
- Monitor and troubleshoot data systems and performance issues.
Qualifications
- Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in data engineering or related roles.
- Proven experience with Microsoft Azure data services.
- Strong leadership and project management skills.
- Excellent problem-solving and analytical abilities.
- Effective communication and collaboration skills.
- Experience with data governance and security practices.
Skills
- Microsoft Azure
- Azure Data Factory
- Azure SQL Database
- SQL
- Python
- ETL processes
- Data warehousing
- Data architecture
- Big Data technologies
- Data governance
- Team leadership
- Project management
Frequently Asked Questions
A Data Engineer Lead - Microsoft Azure is responsible for leading a team of data engineers to design, develop, and optimize scalable data pipelines and data models on the Azure platform. They ensure the effective integration, transformation, and storage of data. Key responsibilities include managing data architecture, implementing best practices, and collaborating with stakeholders to meet business intelligence needs.
Becoming a Data Engineer Lead with Microsoft Azure expertise typically requires a blend of education, such as a degree in computer science or a related field, and extensive experience in data engineering. Proficiency in Azure services, including Azure Data Factory, Azure Synapse Analytics, and Databricks, is essential. Leadership experience and Azure certifications, like Azure Data Engineer Associate, can enhance one's qualifications.
The average salary for a Data Engineer Lead with Microsoft Azure specialization varies based on factors like location, industry, and experience. Generally, this role commands a high salary due to the advanced technical skills, team leadership responsibilities, and cloud platform expertise required. Employers often offer additional benefits and bonuses to attract top talent in this field.
Qualifications for a Data Engineer Lead role on Microsoft Azure include a strong educational background in computer science or a related field, with extensive experience in data engineering. Required qualifications also encompass proficiency in Azure tools, leadership capabilities, excellent problem-solving skills, and familiarity with data governance and security practices. Certifications such as Azure Solutions Architect can be beneficial.
Key skills for a Data Engineer Lead specializing in Microsoft Azure include expertise in Azure's suite of data services, strong leadership and communication skills, and deep knowledge of data modeling, ETL processes, and big data technologies. Responsibilities include guiding a team in building efficient data pipelines, ensuring data accuracy and availability, and architecting scalable data solutions that support analytics and business insights.