Data Engineer Lead — Lead the Data Architecture That Drives Real Business Decisions
KL Sentral Permanent Role for Senior Data Engineers Ready to Lead Teams, Own Architecture, and Deliver at Scale
If You Can Turn Complex Data Problems Into Clear, Scalable Solutions, This Is the Role That Moves Your Career Up Fast
Why you must apply for this position:
- Leadership with technical authority — lead architecture, guide engineers, enforce standards, and become the escalation point for critical technical decisions.
- Enterprise-scale data exposure — work across Data Analytics, Data Warehouse, Data Lake, Big Data, ETL/ELT, Cloud Data Platforms, and Data Governance.
- Permanent growth opportunity — a long-term role for professionals who want stability, influence, and serious ownership in a high-value data environment.
Position: Data Engineer Lead
Job ID: 10264
Working Location: KL Sentral
Working Mode: Onsite
Job Description:
We are hiring a Data Engineer Lead for a permanent position to lead the architecture, design, and implementation of complex enterprise data solutions.
You will drive initiatives involving Data Analytics, Data Warehouse, Data Lake, and Big Data, while designing and governing robust conceptual, logical, and physical data models to ensure integrity, scalability, and performance. You will also manage and mentor the technical team, enforce code quality, and make sure engineering standards are followed consistently.
This role requires someone who can collaborate with key stakeholders, translate high-level business requirements into technical specifications and strategic roadmaps, and oversee project execution across the full software development lifecycle. You will also define governance frameworks, coding standards, and modeling best practices, manage client expectations, handle escalations for critical issues, and drive R&D and upskilling efforts to keep the team ahead of the curve.
Job Requirements:
- 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
- At least 2 years in a leadership or management role
- Expert-level proficiency in Data Modelling theories and techniques such as Dimensional Modelling, Kimball, Star Schema, Snowflake Schema, 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 strong technical architecture involvement
- Required skills: Expert SQL and Python
- Strong proficiency in Java or Scala is highly valued
- Proven ability to manage team dynamics, delegate effectively, and mentor junior engineers
- Experience in Linux/Unix and containerization with Docker/Kubernetes is an added advantage
- Deep knowledge of ETL/ELT, Snowflake or other Cloud Data Platforms (AWS / Azure / Google Cloud)
- Experience in Data Governance, Data Quality, or Master Data Management is an added advantage
- Strategic mindset with strong communication skills for client-facing and executive-level interactions
Strong data leaders don’t stay available for long. If you can lead architecture, people, and delivery with confidence, apply now.
Google Forms: https://forms.gle/5mn2Kyd2ysXk2LBG7
WhatsApp CV: https://wa.link/5pv88e
Confidential Discussion: https://wa.link/lptg0z
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