Data Engineering Manager

Overview:
We are seeking an experienced and dynamic Data Engineering Manager to lead our data engineering team in building and maintaining robust, scalable data solutions. This role involves a mix of technical expertise and leadership skills to manage a team while driving data strategies and ensuring alignment with business goals.

Key Responsibilities:

• Lead, mentor, and develop a team of data engineers, fostering a culture of collaboration and innovation.
• Oversee the design, development, and deployment of data pipelines and architectures using technologies like Python, SQL, Snowflake, and/or Google Cloud Platform (GCP).
• Collaborate with cross-functional teams to identify data requirements and ensure data solutions align with business needs.
• Drive best practices for data engineering, including code reviews, testing, and documentation.
• Manage project timelines, resource allocation, and deliverables to meet business objectives.
• Monitor and improve the performance, reliability, and scalability of data platforms and pipelines.
• Stay informed about industry trends and emerging technologies to drive continuous improvement and innovation.

Required Skills & Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
• 8+ years of experience in data engineering, with at least 2 years in a leadership or management role.
• Strong expertise in Python and SQL, with hands-on experience in Snowflake or GCP.
• Proven experience in building and managing ETL/ELT pipelines and data warehouses.
• Excellent problem-solving skills and the ability to troubleshoot complex data-related issues.
• Strong communication and interpersonal skills, with a track record of effectively managing teams and stakeholders.

Preferred Qualifications:

• Experience with agile methodologies and project management tools.
• Familiarity with DevOps practices and tools for CI/CD pipelines.
• Knowledge of advanced analytics or machine learning frameworks.