Manager of Data Engineering

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 ResponsibilitiesLeadership & StrategyTeam ***** Recruit, mentor, and develop a high-performing team of data engineers, fostering a culture of collaboration, innovation, and accountability.Strategic ***** Develop and execute a data engineering roadmap that aligns with overall business objectives and drives data-driven insights.Stakeholder ***** Work closely with analytics, business intelligence, and other key stakeholders to understand data requirements and deliver effective data solutions.Best ***** Establish and promote best practices in data architecture, warehousing, and software development.Data Engineering & WarehousingData Warehouse ***** Design and implement scalable data warehouses on AWS, leveraging Snowflake as the primary solution.Pipeline ***** Build and maintain robust, end-to-end data pipelines and ETL processes to ensure efficient, accurate, and secure data flow.Data Quality & ***** Ensure high standards of data quality, security, and compliance across all data infrastructure.Performance ***** Continuously optimize data storage, retrieval, and processing performance to support business-critical operations.Innovation & ***** Stay updated with emerging data technologies and industry trends to enhance our data capabilities.Technical Excellence & OperationsSystem ***** Oversee the deployment, monitoring, and maintenance of data systems to ensure high availability and performance.DevOps & CI/***** Implement agile methodologies, automated deployment pipelines, and DevOps best practices to streamline data operations.Problem ***** Lead efforts to troubleshoot and resolve complex data infrastructure challenges, collaborating with cross-functional teams when necessary.Qualifications***** 7+ years in data engineering roles with significant experience in designing and managing data warehouses.Technical ***** 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.).***** Demonstrated success in managing and scaling high-performing data engineering teams.Cloud & ***** Hands-on experience with cloud-based data solutions, microservices, and API-driven architectures.***** Solid understanding of agile development, DevOps practices, and CI/CD pipelines.***** Excellent analytical, problem-solving, and stakeholder management skills.

Created: 2025-03-01