Cloud Data & Analytics Technology Lead

SG-Collyer Quay, Singapore

AIA

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Do meaningful work with us. Every day.

At Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness  and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.

Lead development and production deployment of enterprise-level analytic data products determining appropriate design strategies and methodologies.

Who we are

Amplify Health Asia Pte. Limited (Amplify Health) is a leading health technology and analytics organisation, providing our customers with integrated solutions to improve outcomes for individuals and the sustainability of health systems.

We aim to be a trusted custodian of Asia's largest repository of health data, unifying financial, clinical, operational and behavioural data to empower our customers with insights that highlight opportunities to deliver better value and care outcomes.

We’ve set a bold vision

The vision for Amplify Health is to be a leading digital health technology and integrated solutions business.

Our Culture and Values

At Amplify Health, we believe in fostering a culture that embodies the spirit of Courageous Entrepreneurs. We are passionate and innovative individuals who continuously strive to push boundaries and think outside the box. We understand that calculated risks are essential for driving progress, and we view failures as valuable opportunities to learn and grow.

As Outstanding People, collaboration, learning, and growth are at the core of our values. We trust and rely on each other, working together as a unified team to achieve our goals. When success comes our way, we celebrate it as a collective achievement, and we are committed to improving and excelling together.

We firmly believe in the mantra of Discuss, Decide, Do. Listening is fundamental in our decision-making process, and we act promptly, ensuring accountability in everything we do. Simplicity is the key to our efficiency, and we get things done quickly and effectively while being guided by facts and understanding.

At the heart of our pursuits lies a Lasting Impact. We prioritize the needs of our customers, and we are crystal clear about the problems we are solving for them. Progress is our north star, and while we strive for excellence, we acknowledge that perfection is a journey, and we remain focused on delivering excellent products that make a tangible difference.

If you are a passionate and innovative individual who thrives in a collaborative environment, where courage is celebrated, and customer focus is paramount, we invite you to join our team. Together, we will shape the future with our unwavering commitment to excellence and the determination to make a lasting impact in the industry.

How you would make a difference

  • Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
  • Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
  • Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
  • Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
  • Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other’s thoughts and ideas.
  • Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
  • Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
  • Present analysis and recommendations to help influence strategic decisions.
  • Lead and take action, inspire and motivate others, and be effective at influencing team members.
  • Guide and coach team members, focusing on individual’s professional development as well as overall team health and technical proficiency.

What you need to be successful

  • Preferably 10+ years of work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
  • Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
  • Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
  • Experience developing and nurturing data engineering talent, including implementing training, upskilling, and mentorship plans.
  • Expert-level engineering, architecture, and system design knowledge, with strong computer science fundamentals.
  • Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering.
  • Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.
  • Excellent written and oral communication skills, with a demonstrated ability to communicate complex concepts to a wide range of audiences.
  • Ability to thrive in a fast-paced, agile, and dynamic environment, while exuding a can-do attitude Ability to handle multiple concurrent projects while working independently and in teams of all sizes with representatives from a diverse set of technical backgrounds.
  • Bachelor’s or master’s degree in computer science or equivalent; team leadership and management training is a plus.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Airflow Architecture Azure Computer Science Data Analytics Databricks Data management Data Warehousing dbt DevOps Engineering ETL GitHub Java JavaScript Jenkins Kafka MLFlow NoSQL Python Security Snowflake Spark SQL Streaming Terraform Testing

Perks/benefits: Career development Startup environment Wellness

Region: Asia/Pacific
Country: Singapore

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