Lead Data Engineer (Azure Data Factory, Azure Synapse) (225-808)

As a Lead Data Engineer specializing in Azure Data Factory and Azure Synapse, you will be at the forefront of our data transformation journey. This is an exceptional opportunity to steer the development and maintenance of our data architecture, ensuring optimized and robust data systems. You will be tasked with leveraging Azure's cutting-edge tools to design, build, and enhance data processing systems aimed at supporting strategic insights and data-driven decision-making. Your expertise will be critical in streamlining data processes, enhancing our data pipeline infrastructure, and enabling seamless integration of data science initiatives. Additionally, you will guide and mentor a talented team of data professionals, working collaboratively to achieve organizational objectives and drive technical strategy.

Responsibilities

• Lead the design and implementation of data integration solutions using Azure Data Factory.
• Develop, construct, test, and maintain data pipeline architectures within Azure Synapse Analytics.
• Enhance the performance of current data models and improve data quality and efficiency.
• Work closely with data scientists and architects to integrate data assets for analysis.
• Manage complex ETL jobs with hands-on experience in Azure cloud-based solutions.
• Ensure optimum performance, reliability, and scalability of data engineering solutions.
• Guide the data engineering team to solve business problems with innovative data solutions.
• Implement data governance frameworks ensuring compliance and data security best practices.
• Monitor data flows and resolve any data-related issues promptly and effectively.
• Collaborate with cross-functional teams to translate business needs into technical specifications.
• Stay abreast of the latest technologies and trends in data engineering fields.
• Provide mentorship, training, and technical guidance to junior team members.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in Azure Data Factory and Azure Synapse Analytics solutions.
• Strong knowledge and experience with SQL and relational databases.
• Solid understanding of ETL processes, data warehousing, and big data concepts.
• Excellent problem-solving skills with a focus on achieving tangible results.
• Strong communication skills, with the ability to convey complex data concepts plainly.
• Experience leading a team and managing large-scale data engineering projects.