Senior Engineering Manager, Architect

• Be responsible for Data C OE roadmap and execution from concept to delivery.

• Provide technical leadership for your teams and major projects, build, and lead high-performance data engineering teams.

• Data Architecture Design. Architect and design technically robust, extensible, and scalable solutions. Designing data management frameworks, including data model designs, database development standards, and data warehouses.

• Coordinate the design and implementation of infrastructure necessary to support the data needs.

• Monitoring System Health. Monitoring system health, defining relevant KPIs, and suggesting solutions to enhance the current state.

• Engage and partner with other teams and product owners to co-develop products and solutions.

• Be responsible for enforcing best practices, setting up guidelines, processes for the data engineering teams to help them build a world class data platform.

• Demonstrate expertise in data ops patterns, with a passion for encouraging the development of clean and reusable solutions.

• Review guidelines and processes for data engineers to ensure consistent architecture across PropertyGuru.

• Encourage experimentation with innovative technologies to improve the way we handle our data.

• Maintain elaborate documentation to ensure continuity.

• Collaborating with other talented engineers spread across a multitude of tech teams in Singapore, Malaysia, Thailand, India, Vietnam, and Indonesia.

• Regular and pro-active communication with stakeholders to align project goals and updates.

• Give engineers the tools, confidence, and motivation to make decisions independently that lead to the recognition of your engineers and not just yourself.

• Evaluate the performance of your teams regularly and share and seek feedback. Mentoring and developing team members.

• Encourage fostering a culture of innovation and continuous improvement within the data engineering team.

• Set up best practices for data management and overlook its adoption.

• Take ownership of governance and compliance efforts for Data C O E.

• Budget Management.

We are looking for someone who:

• Experience in data engineering of which minimum few years in people management, or similar role.

• Ability to work independently in a fast paced, unstructured environment. We do have a lot of open-ended challenges to solve with multiple options to choose from as a solution.

• Strong decision-making skills, metric-driven operations, and ability to motivate and maximize productivity.

• Familiarity with architectural and software design patterns.

• Familiarity with modern data engineering technologies and practices.

• Familiarity of both relational and non-relational databases and best practices for modelling for these.

• Experience building integration projects that may involve enterprise systems (ex., Salesforce), social platform (ex. Facebook, Google Ads), marketing platform (ex., Braze) would be a plus.

• Experience in supporting 3rd Party platforms such as CRM, Customer Engagement or Customer Data Platform with marketing tech experience will be a big plus.

• In-depth knowledge of Python, BigQuery , ElasticSearch, bash etc

• Good exposure to BigQuery, Airflow, and other big data technologies.

• Experience in running applications using Docker.

• Familiarity with cloud environments such as GCP and/or AWS and container orchestration platforms such as Kubernetes.

• Exposure to tools like GitHub Actions, Jenkins or Buildkite is a plus.

• Excellent communication skills and ability to speak both to technical and non-technical people.

• Ability to work with various stakeholders.

• Self-motivated and fast learner.