Data Platform Lead: Enterprise Pipelines & AI

re-zoo-me; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

Temus in Singapore is seeking a senior data architect/engineer to design and manage enterprise-scale data platforms and pipelines. You will leverage Snowflake, Databricks, and BigQuery, while applying Spark, Airflow, and streaming solutions to deliver scalable data solutions.

You will mentor data engineers, build client relationships, and contribute to technical blogs and thought leadership. A strong focus on governance, security, and cloud migrations will be essential.

Qualifications

• Extensive experience designing enterprise-scale data platforms.
• Hands-on with Snowflake, Databricks, BigQuery and other major data stores.
• Proficiency with Spark, dbt, Airflow or similar frameworks.
• Advanced knowledge of Kafka, Spark Streaming, Flink.
• Expert-level coding in Python, Scala or Java; working knowledge of others.
• Strong experience with cloud data services (AWS, Azure, GCP).
• Experience implementing data governance, security, and compliance.
• 10 years delivering data solutions from incubation to deployment.
• Strong ability to manage client and partner relationships.
• Ability to develop client proposals and communicate with stakeholders.
• Experience mentoring and developing data engineers.
• Active contribution to data blogs and thought leadership.
• Engagement with the data community through events and projects.

Responsibilities

• Solve the hardest problems with data and AI to deliver social and economic value.
• Build and maintain relationships with clients, colleagues, and partners.
• Lead and mentor a world‑class team of data engineers.
• Maintain a culture of excellence and lead with confidence and humility.
• Create and deliver technical blogs and thought leadership on data engineering.
• Continuously invest in expanding knowledge and skills, keeping ahead of trends.

Skills

Data platform design

Enterprise data pipelines

Python/Scala/Java

Cloud data services (AWS/Azure/GCP)

Data governance & security

Client relationship management

Mentoring data engineers

Technical blogging

Tools

Snowflake

Databricks

BigQuery

MongoDB

Cassandra

PostgreSQL

MySQL

Oracle

Neo4j

Job description

Temus in Singapore is seeking a senior data architect/engineer to design and manage enterprise-scale data platforms and pipelines. You will leverage Snowflake, Databricks, and BigQuery, while applying Spark, Airflow, and streaming solutions to deliver scalable data solutions.

You will mentor data engineers, build client relationships, and contribute to technical blogs and thought leadership. A strong focus on governance, security, and cloud migrations will be essential.