Lead and mentor a team of data engineers
Architect, design, and implement scalable data pipelines and processing systems using modern cloud services (AWS, GCP, Azure)
Establish and enforce data engineering best practices, standards, and governance frameworks
Drive the technical vision and roadmap for data infrastructure and platforms
Optimize data workflows for performance, reliability, and cost efficiency
Conduct code reviews, ensuring scalable and maintainable solutions
Communicate technical concepts effectively to technical and non-technical audiences

10+ years of experience in data engineering or related roles, with at least 2+ years in a leadership or engineering management capacity
Proficiency in Python and SQL is essential
Experience with version control systems like Git
Experience in designing and implementing enterprise-grade data lake solutions
Strong understanding of data warehouse concepts, including star and snowflake schemas
Familiarity with real-time data streaming technologies such as Apache Kafka or AWS Kinesis
2+ years of team leadership or engineering management experience
Excellent communication and collaboration skills
Understanding of data privacy, compliance, and security best practices
Relevant cloud certifications (e.g., AWS Certified Data Analytics or Google Cloud Professional Data Engineer)

Benchmark competitive in-market total rewards package including base salary & short-term incentive for all employees
Fully remote-first, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth
Retirement planning (i.e. CPF, EPF, company-matched 401(k))
Comprehensive benefits package for medical, dental, and vision insurance
Mental health resources and additional wellness programs
Generous time off and leave allowances
Opportunities to create a lasting impact, learn and grow, experience great culture, and be your whole self!

Lead Engineer, Data

Key skills