Lead Data Engineer

iZeno was founded in 2003 to provide enterprises with custom-built technology solutions they need to keep their business running seamlessly. Logicalis Asia, part of the Logicalis Group, a leading international IT solutions and managed services provider, has acquired a majority stake in iZeno, a company specialising in digital transformation, application modernisation, DevOps, customer experience and hybrid cloud solutions.

With a team of 120+ in-house innovators, we have delivered over 500 Enterprise Solutions, implemented, and optimized to enable smarter insights. Our team draws on industry experiences in accomplishing a portfolio of mission-critical applications, integrating Cloud, CRM, Data Analytics, and other leading technologies with our clients' existing IT frameworks.

With leading presence in the region, headquartered in Singapore and operation in Malaysia, Indonesia, Thailand and Philippines, no project is too complex for us, and our team is always ready for a new challenge. 

About the Role:

• Lead the architecture, design, and implementation of complex solutions involving Data Analytics, Data Warehouse, Data Lake, and Big Data
• Design and govern robust data models (Conceptual, Logical, and Physical) to ensure data integrity, optimal performance, and scalability for analytics
• Manage, mentor, and guide the technical team, ensuring code quality and adherence to best practices
• Collaborate with key stakeholders to translate high-level business requirements into technical specifications and strategic roadmaps
• Oversee project execution, managing resources, timelines, and deliverables across the full software development lifecycle
• Define and enforce data governance frameworks, coding standards, and modeling best practices across the organization
• Manage client expectations and serve as the point of escalation for critical technical issues
• Drive R&D/upskilling initiatives to keep the team updated on emerging technologies and data engineering trends

• Candidates must possess at minimum a Bachelor’s Degree or Diploma in Computer Science/Information Technology or equivalent
• Minimum 7-8 years of experience in Data Analytics/Data Warehouse/Data Lake/Big Data, with at least 2 years in a leadership or management capacity
• Expert-level proficiency in Data Modelling theories and techniques (e.g., Dimensional Modelling/Kimball, Star & Snowflake schemas, Data Vault, and 3NF)
• Strong experience in performance tuning and optimizing data models for specific database engines
• Hands-on experience delivering enterprise-scale projects with a strong focus on technical architecture
• Required skills: Expert SQL/Python. Strong proficiency in Java/Scala is highly valued
• Proven ability to manage team dynamics, delegate tasks effectively, and mentor junior engineers
• Experience operating in Linux/Unix environments and containerization (Docker/Kubernetes) is an added advantage
• Deep knowledge of ETL/ELT methodologies, Snowflake or other Cloud Data Platforms (AWS/Azure/Google Cloud). Experience with Data Governance, Data Quality, or Master Data Management is an added advantage
• Strategic mindset with excellent communication skills for client-facing and executive-level interactions