Manager of Data Engineering (Nighshift; Onsite)

The executive search firm Monroe Consulting Group Philippines is recruiting on behalf of a high-growth regulatory-approved online training and certification company with offices in the USA, Pakistan, and Manila. This industry leader in online training and certification across various industries and professions is seeking a Manager of Data Engineering. The position requires onsite work during the night shift and is based in BGC, Taguig City, Philippines.

About the role:
The Manager of Data Engineering must have expertise in Cloud Platforms, Modern Data Architecture, and Data Engineering. The chosen leader will lead our Data Engineering team, responsible for developing and maintenance our Enterprise Data Platform, and core data/application pipelines. Responsible for developing our go-forward data strategy partnering with Development, Data Analytics, and business teams to drive insights.

Our ideal candidate is a rising star in Data Engineering Leadership, ready to challenge conventions and brimming with innovative ideas to manage people, processes, and technology. We need someone who is eager to broaden their responsibilities and tackle diverse leadership challenges to accelerate their career growth. In this role, you'll be crucial in designing our next-generation data platform, emphasizing data quality, speed of execution, and cost optimization.

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.

Key responsibilities include:

  • 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.
  • 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 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.

Key requirements include:

  • 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