Senior Data Platform Lead — AI & Data Engineering

Temus; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Temus is a data-led consulting firm delivering digital transformation for public and private sectors in Singapore. We seek a senior data engineering leader to design, build, and scale enterprise-grade data platforms across Snowflake, Databricks, and cloud ecosystems.

You will lead a team of data engineers, mentor talent, and drive client engagements while contributing to thought leadership and technical blogs.

Qualifications

• Design, build, and maintain enterprise-scale data platforms and pipelines.
• Hands-on with Snowflake, Databricks, BigQuery, MongoDB, Cassandra, PostgreSQL, MySQL, Oracle, Neo4j.
• Proficiency with Spark, dbt, Airflow, or similar frameworks.
• Advanced knowledge of streaming with Kafka, Spark Streaming, Flink.
• Expert-level coding in Python, Scala, or Java; working knowledge of others.
• Strong cloud data services experience (AWS, Azure, GCP) including migrations.
• Experience implementing data governance, security, and compliance.
• 10 years delivering data solutions from incubation to deployment and commercialisation.
• Strong client relationship development and proposal delivery abilities.
• Mentor data engineers; contribute to blogs & thought leadership.

Responsibilities

• Solve hard problems with data and AI to deliver social and economic value.
• Develop and maintain relationships with clients, colleagues, and partners.
• Build, lead and mentor a world-class team of data engineers.
• Deliver technical blogs & thought leadership on data engineering.
• Invest in ongoing knowledge and skills development.

Tools

Snowflake

Databricks

BigQuery

MongoDB

Cassandra

PostgreSQL

MySQL

Oracle

Neo4j

Spark

dbt

Airflow

Kafka

Flink

Python

Scala

Java

AWS

Azure

GCP

Data governance

Security & compliance

Job description

Temus is a data-led consulting firm delivering digital transformation for public and private sectors in Singapore. We seek a senior data engineering leader to design, build, and scale enterprise-grade data platforms across Snowflake, Databricks, and cloud ecosystems.

You will lead a team of data engineers, mentor talent, and drive client engagements while contributing to thought leadership and technical blogs.