Lead Data Engineer - Platform & Pipelines (Cloud)

Zenith Infotech Pte Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Zenith Infotech Pte Ltd. is seeking an experienced Data Platform Lead to own scalable data pipelines and the data platform. You will lead a small team, collaborate with Data Science, Analytics, and Product, and hands-on architect data solutions in the cloud.

You will mentor engineers, establish standards, and ensure secure, reliable, cost-efficient pipelines. Strong Python/SQL, plus cloud experience, are essential for delivering end-to-end data projects.

Qualifications

• Masters or Degree in Computer Science, Engineering, Mathematics, or related field.
• Equivalent practical experience will be considered.
• Has at least 6+ years in data engineering, with 2+ years in a lead/senior role.
• Strong in Python and SQL. Experience with PySpark is a plus.
• Hands-on experience with AWS, GCP, or Azure. Services like S3/ADLS, BigQuery/Redshift/Snowflake, Airflow, Kafka, DBT.
• ETL/ELT Tools: Informatica PowerCenter / Informatica Intelligent Cloud Services (IICS).
• Experience with data integration, mappings, transformations, and workflow orchestration in Informatica.
• Strong experience with dimensional modeling, data warehousing, and lakehouse architectures.
• Experience with Airflow, Prefect, or similar workflow tools.
• Engineering practices: CI/CD, Docker, Git, Infrastructure as Code, unit testing.
• Good to Have: Kafka, Spark Streaming, Flink; Databases: PostgreSQL, MongoDB, Redis.
• Working with feature stores and model deployment pipelines.
• Experience hiring, mentoring, and doing technical interviews.
• Can explain complex technical concepts to non‑technical stakeholders.
• Proactive problem solver who takes end‑to‑end ownership.
• Works well across Data Science, Analytics, and Engineering teams.
• The role will need to secure a clearance, due to the sensitivity of the project.

Responsibilities

• Design and oversee scalable data pipelines and data platforms.
• Lead a small team of data engineers and collaborate with Data Science, Analytics, and Product.
• Mentor engineers, conduct code reviews, and set engineering standards.
• Own data ingestion, storage, transformation, orchestration, and monitoring in cloud environments.
• Partner with Data Science, Analytics, Product, and Business teams to translate requirements into technical solutions.
• Drive end‑to‑end delivery of data projects from requirements gathering to production deployment and support.
• Implement testing, monitoring, and data quality frameworks.
• Enforce data security, privacy, and compliance standards.
• Optimize pipeline performance, cost, and reliability.
• Troubleshoot production issues.

Skills

Python

SQL

Data pipelines

ETL/ELT

Leadership

Mentoring

Cloud platforms

Airflow

CI/CD

Data modeling

Security & governance

Education

Masters in CS/Engineering

Tools

Airflow

Informatica PowerCenter

DBT

Kafka

Snowflake

BigQuery

PowerCenter

Job description

Zenith Infotech Pte Ltd. is seeking an experienced Data Platform Lead to own scalable data pipelines and the data platform. You will lead a small team, collaborate with Data Science, Analytics, and Product, and hands-on architect data solutions in the cloud.

You will mentor engineers, establish standards, and ensure secure, reliable, cost-efficient pipelines. Strong Python/SQL, plus cloud experience, are essential for delivering end-to-end data projects.