Data Engineering Manager

*Must be very technical and hands-on with SQL, python, Snowflake, AWS, ETL, ELT, DevOps best practices and Site Reliability*

We are seeking an experienced Data Engineering Manager with deep expertise in architecting and building scalable data warehouses on AWS and Snowflake. In this role, you will lead a team of data engineers to design, implement, and maintain robust data pipelines and ETL processes that empower data-driven decision-making across the organization.

Key Responsibilities

Leadership & Strategy

• Team Leadership: Recruit, mentor, and develop a high-performing team of data engineers, fostering a culture of collaboration, innovation, and accountability.
• Strategic Vision: Develop and execute a data engineering roadmap that aligns with overall business objectives and drives data-driven insights.
• Stakeholder Collaboration: Work closely with analytics, business intelligence, and other key stakeholders to understand data requirements and deliver effective data solutions.
• Best Practices: Establish and promote best practices in data architecture, warehousing, and software development.

Data Engineering & Warehousing

• Data Warehouse Architecture: Design and implement scalable data warehouses on AWS, leveraging Snowflake as the primary solution.
• Pipeline Development: Build and maintain robust, end-to-end data pipelines and ETL processes to ensure efficient, accurate, and secure data flow.
• Data Quality & Security: Ensure high standards of data quality, security, and compliance across all data infrastructure.
• Performance Optimization: Continuously optimize data storage, retrieval, and processing performance to support business-critical operations.
• Innovation & Improvement: Stay updated with emerging data technologies and industry trends to enhance our data capabilities.

Technical Excellence & Operations

• System Reliability: Oversee the deployment, monitoring, and maintenance of data systems to ensure high availability and performance.
• DevOps & CI/CD: Implement agile methodologies, automated deployment pipelines, and DevOps best practices to streamline data operations.
• Problem Resolution: Lead efforts to troubleshoot and resolve complex data infrastructure challenges, collaborating with cross-functional teams when necessary.

Qualifications

• Experience: 7+ years in data engineering roles with significant experience in designing and managing data warehouses.
• Technical Expertise: Proven track record in building data warehouses on AWS using Snowflake, along with strong proficiency in ETL/ELT processes and modern data stack technologies (SQL, Python, etc.).
• Leadership: Demonstrated success in managing and scaling high-performing data engineering teams.
• Cloud & Architecture: Hands-on experience with cloud-based data solutions, microservices, and API-driven architectures.
• Methodologies: Solid understanding of agile development, DevOps practices, and CI/CD pipelines.
• Communication: Excellent analytical, problem-solving, and stakeholder management skills.