Senior Manager, Data Engineering

**Senior Manager, Data Engineering**

With a proven track record of building high-performance teams and delivering world-class data solutions, you'll hire and mentor star data engineers, ensuring our team remains innovative and delivers high-quality projects on time. If you are passionate about data engineering and ready to impact a fast-growing team significantly, this opportunity is perfect for you.

**How will you make an impact?**
- 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 ensure the timely and high-quality execution of these goals.
- Establish yourself as an expert in our existing product architecture, workflows, and business domain, facilitating your ability to provide effective leadership and guidance.
- 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.
- 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 AWS 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.

**What will you bring to us?**
- 5+ years of data engineering management experience with a proven track record of leading engineering teams to deliver world-class data solutions.
- Bachelor's or a related field of study
- Experience in successfully building and deploying a new data platform on Azure, Azure Data factory, PowerBI, showcasing both strategic and technical insight.
- Proven track record of hiring and recruiting tech talent locally and globally. Hired 5+ people in the past 3 years. 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.
- Excellent troubleshooting and problem-solving skills
- Excellent communication and teamwork, and a passion for learning and innovating