Lead Cloud Data Engineer

If you are a self-motivated and results-driven Lead Cloud Data Engineer looking to make a significant impact in a fast-paced and dynamic environment, we want to hear from you

Position: Lead Cloud Data Engineer

Location: New York, New York, United States

Salary: $130 Per hour

We are seeking a highly skilled and experienced Lead Cloud Data Engineer to join our team. As the Lead Cloud Data Engineer, you will be responsible for designing, implementing, and maintaining our cloud-based data infrastructure. You will play a critical role in shaping the future of our data strategy and driving innovation within our organization.

Key Responsibilities:

• Design and develop scalable and robust cloud-based data solutions using cutting-edge technologies such as AWS, Google Cloud, and Microsoft Azure
• Lead a team of data engineers to build and maintain data pipelines, data warehouses, and data lakes
• Collaborate with cross-functional teams to identify and understand business requirements and translate them into technical solutions
• Develop and implement data governance and security policies to ensure data integrity and compliance
• Continuously monitor and optimize data pipelines and processes to ensure high performance and reliability
• Stay current with industry trends and best practices in cloud-based data engineering and make recommendations for improvement and innovation
• Mentor and coach junior data engineers to foster their growth and development
• Act as a technical advisor to the data science team and provide guidance on data availability and quality
• Oversee and manage data storage and cost optimization on cloud platforms
• Communicate progress, issues, and risks to stakeholders and senior leadership as needed

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
• Minimum of 5 years of experience in data engineering, with at least 2 years in a lead or managerial role
• Strong experience with cloud-based data platforms such as AWS, Google Cloud, or Microsoft Azure
• Expertise in SQL, Python, and ETL tools such as Talend or Informatica
• Experience with data warehousing, data modeling, and data governance principles
• Proven track record of designing and implementing complex data solutions in a production environment
• Excellent communication and leadership skills with the ability to collaborate effectively with cross-functional teams
• Strong problem-solving and critical thinking skills
• Passion for learning and staying updated with emerging technologies and techniques in data engineering
• Experience with agile methodologies is a plus

Join us and be a part of our journey to revolutionize the way we manage and utilize data.