Manager Data Engineering

Manager of Data Engineering With a proven track record of building high-performance teams and delivering world-class data solutions, you'll hire and mentor top data engineers, ensuring our team remains innovative and delivers high-quality projects on time. If you are passionate about data engineering and ready to significantly impact a fast-growing team significantly, this opportunity is perfect for you. Responsibilities Lead, manage, and mentor data engineers to deliver high-quality software projects using open-source frameworks and Cloud Technologies, with a particular focus on Azure cloud data platforms Play a pivotal role in identifying, recruiting, and onboarding high-caliber data engineers to ensure continuous growth and expansion of our team. Leverage offshore resources and partners to augment in-house expertise and talent, ensuring a balanced global team capable of executing on multiple fronts. Set clear goals and performance objectives for the team, managing expectations and ensuring the timely and high-quality execution of these goals. Drive the design and implementation of modern cloud data architectures, with a strong emphasis on Azure based solutions, and contribute to evangelizing these technologies within the organization. Facilitate cross-functional collaboration with Product, QA, Data, and DevOps teams, ensuring the delivery of projects on time and with exceptional quality. Regularly report on progress towards goals, outlining current roadblocks, time estimations, results, and recommendations for accelerating project timelines. Actively participate in architecture, design, and code reviews for the data engineering team, providing constructive feedback and facilitating continuous improvement. Promote a DevOps culture and mindset from development, testing, and deployment perspectives, underlining the importance of swift and efficient operational execution. Apply architectural and engineering concepts to design solutions that meet operational requirements, including scalability, maintainability, flexibility, reliability, and availability. Take ownership of the management of production support SLAs, focusing on optimizing performance while minimizing cost. Ensure the highest data quality standards are maintained within the Azure cloud data platform, leveraging innovative strategies and technologies to ensure accuracy and consistency. Mentor and develop data engineers, encouraging innovation, timely project completion, and career growth. Act as a communicator, ensuring that team members, stakeholders, and other relevant parties are kept abreast of team activities, project statuses, and strategic decisions. Qualifications 4+ years of data engineering management experience with a proven track record of leading engineering teams to deliver world-class data solutions. Bachelors degree in Computer Science, Engineering, or a related field of study. Experience in successfully building and deploying new data platforms on Azure, including Azure Data Factory and Power BI, showcasing both strategic and technical insight. Proven track record of hiring and recruiting tech talent locally and globally. Experience with outsourcing is a plus. Knowledge and experience with data engineering productivity toolchains and concepts (CI/CD, DevOps, GitHub, Jira, Confluence, Agile Scrum / Kanban, etc.) Experience with architectural design for performance and scalability. Comfortable working directly with data analytics to bridge business requirements with data engineering Expertise in Azure Data factory, Azure SQL, etc. Nice to have: Experience with future state technologies such as Azure Data Lake and data lakehouse architectures. Excellent troubleshooting and problem-solving skills Excellent communication and teamwork, and a passion for learning and innovating.