Lead Data Architect

IKAS INTERNATIONAL (ASIA) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading tech consulting firm in Singapore is seeking a Lead Data Engineer / Data Engineering Manager to design and develop scalable, cloud-native data platforms. This hands-on role requires over 10 years of experience in data engineering, expertise in AWS, and proficiency in Python and SQL. The successful candidate will lead architecture design, optimize data pipelines, and mentor engineering teams, fostering collaboration across product, analytics, and engineering teams to drive impactful data strategies.

Qualifications

• 10+ years of experience in data engineering or architecture.
• Strong engineering background for designing complex systems.
• Expertise with cloud-native data architectures (AWS).
• Proven skills in building data pipelines and platforms.

Responsibilities

• Lead the hands-on development of scalable cloud-based data platforms.
• Design and optimize data pipelines for analytics and AI.
• Own end-to-end data solutions from ingestion to consumption.
• Mentor engineers and improve overall engineering standards.

Skills

Data platform development

Cloud-native architecture

Python

SQL

Distributed data processing

Data governance

Tools

Databricks

Snowflake

Teradata

Airflow

Docker

Git

Terraform

Job description

We're looking for Lead Data Engineer / Data Engineering Manager to join our client to help design, build, and evolve large-scale, cloud-native data platforms that power real products and business outcomes. This is a hands‑on technical role for someone who enjoys solving complex data problems, shaping architecture, and still getting close to the code.

You’ll work in a product‑led environment, partnering closely with engineering, analytics, and business teams to modernize data infrastructure, enable advanced analytics or AI use cases, and build scalable platforms.

What You’ll Do

• Lead the architecture and hands‑on development of scalable, cloud‑based data platforms (primarily AWS, with some Azure)
• Design, build, and optimize batch and real‑time data pipelines supporting analytics, products, and AI use cases
• Own end‑to‑end data solutions; from ingestion and processing to storage, modeling, and consumption
• Build and evolve modern data platforms using technologies such as Databricks, Snowflake, and Teradata
• Define and implement reusable data architectures, patterns, and best practices
• Develop secure, reliable infrastructure for structured and unstructured data at scale
• Enable product teams with high‑quality, well‑modeled, and accessible data
• Ensure strong data governance, quality, lineage, and access controls are embedded by design
• Support both greenfield platform builds and legacy data modernization initiatives
• Mentor engineers, review designs and code, and raise the overall engineering bar

What You Bring

• 10+ years of experience in data engineering, data platform development, or data architecture
• Strong hands‑on engineering background with the ability to design, build, and troubleshoot complex systems
• Deep technical experience designing and implementing cloud‑native data architectures (primarily AWS; Azure a plus)
• Proven expertise with modern data platforms such as Databricks, Snowflake, and Teradata
• Advanced proficiency in Python and SQL, with solid experience in Java and/or Scala
• Strong experience with distributed data processing and storage technologies (e.g. Spark, data lakes, lakehouse architectures)
• Hands‑on experience building batch and real‑time data pipelines using modern ingestion and processing patterns
• Experience with orchestration and DevOps tooling, including Airflow, Docker, Git, Terraform, and CI/CD pipelines
• Practical experience designing data models, performance tuning, and optimizing large‑scale analytical workloads
• Exposure to AI/ML data workloads (feature engineering, data preparation, or enabling model training and inference) is highly desirable
• Solid understanding of data governance, security, lineage, and access controls in production environments
• Ability to review architecture and code critically, make trade‑offs, and set technical direction
• Strong communication skills and the ability to align engineers and stakeholders around technical decisions
• A product‑focused mindset, driven by delivering reliable data capabilities that create measurable business impact

Personal data collected will be used for recruitment purposes only.

Only shortlisted candidates will be notified / contacted.

EA Registration No: R21101138
"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website: www.sanderson-ikas.sg