Lead Data Engineering Manager

If you are a strategic thinker with a passion for data and a proven track record of leading successful data engineering teams, we encourage you to apply for this exciting opportunity

Position: Lead Data Engineering Manager

Location: New York, New York, United States

Salary: $138 Per hour

Job Description: We are seeking a highly skilled and experienced Lead Data Engineering Manager to join our team. As the Lead Data Engineering Manager, you will be responsible for overseeing all aspects of our data engineering operations. This is a leadership role where you will be managing a team of data engineers and working closely with cross-functional teams to drive the development and implementation of data solutions.

Key Responsibilities:

• Lead and manage a team of data engineers, providing guidance, mentorship, and support to ensure the team's success.
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and provide technical solutions.
• Develop and maintain data engineering standards, processes, and best practices to ensure data quality, consistency, and efficiency.
• Oversee the design, development, and maintenance of data pipelines and ETL processes to ingest, transform, and store data from various sources.
• Manage the implementation of data governance and security policies to ensure compliance with regulations and protect sensitive data.
• Stay current with emerging data technologies and trends, and evaluate and implement new tools and techniques to improve data engineering processes.
• Ensure the scalability, reliability, and performance of our data infrastructure to support the growing needs of the business.
• Monitor and troubleshoot data issues, and proactively identify and resolve any data quality or integrity issues.
• Establish and track key performance indicators (KPIs) to measure the team's performance and the effectiveness of data engineering processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role.
• Strong knowledge of data engineering concepts, including data modeling, ETL, data warehousing, and data governance.
• Experience with various data engineering tools and technologies, such as SQL, Python, Hadoop, and cloud platforms (AWS, Azure, GCP).
• Proven experience in managing and leading a team, with excellent communication, collaboration, and leadership skills.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• Strong problem-solving skills and attention to detail, with a focus on delivering high-quality and scalable data solutions.
• Experience in the healthcare or financial industry is a plus.

Join our team and be a part of a company that is dedicated to making a positive impact on people's lives.