Lead Software & Data Platform Engineer

Good Job Creations (Singapore) Pte Ltd

Singapore

On-site

SGD 120,000 - 180,000

Full time

9 days ago

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Job summary

Good Job Creations (Singapore) Pte Ltd in Singapore seeks a Senior Lead Data & Software Engineer to drive scalable software and data platform development for digital transformation across supply chain and enterprise operations.

You will architect data warehouses, lakes, APIs and microservices, lead a technical team, and champion cloud-based data engineering with Databricks, CI/CD, and governance.

Qualifications

Degree in Computer Science, Information Technology, Data Science, Software Engineering, or related discipline.
At least 5 years of experience in software engineering, application development, data engineering, or related fields.
Proven experience leading technical teams and delivering complex software or data platform projects.
Strong proficiency in Python for application development, automation, data processing, and system integration.
Hands-on experience designing and implementing data warehouses, data lakes, and modern data platforms.
Experience with Databricks, Spark, or similar big data and analytics platforms.
Strong knowledge of database technologies, including SQL and NoSQL databases.
Experience developing APIs, backend services, microservices, and enterprise applications.
Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Knowledge of containerization technologies, DevOps practices, CI/CD pipelines, and software deployment methodologies.
Experience integrating enterprise systems such as ERP, WMS, CRM, or other business applications.
Strong understanding of data governance, data quality, security, and scalability best practices.
Experience in supply chain, logistics, procurement, manufacturing, or related environments is an added advantage.
Experience in AI, ML, predictive analytics, or advanced data modelling is an added advantage.
Knowledge of time-series forecasting, optimization algorithms, or MLOps practices is an added advantage.
Strong stakeholder management, communication, and problem-solving skills.

Responsibilities

Lead the design, development, and implementation of enterprise software applications and data platforms.
Architect and manage scalable data infrastructure, including data warehouses, data lakes, and modern data platforms.
Develop and maintain data pipelines, ETL/ELT processes, and data integration frameworks.
Design and implement backend systems, APIs, and microservices.
Drive adoption of modern data engineering practices using cloud-based technologies and platforms such as Databricks.
Collaborate with stakeholders to gather requirements and translate needs into scalable solutions.
Lead system integration projects involving ERP, WMS, CRM and third-party platforms.
Establish best practices for software engineering, data architecture, DevOps, CI/CD, and governance.
Mentor and provide technical leadership to engineers and cross-functional teams.
Monitor system performance, reliability, security, and scalability; drive continuous improvement.
Support technology roadmap planning and recommend innovative solutions delivering measurable value.

Skills

Python

Data warehousing

Data lakes

Databricks

Spark

SQL

NoSQL

APIs

Backend services

Cloud platforms

DevOps

CI/CD

ERP/WMS integration

Data governance

Data quality

Security

Scalability

AI/ML (adv)

MLOps (adv)

Stakeholder management

Education

Bachelor's degree in Computer Science / Information Technology / Data Science / Software Engineering

Tools

Databricks

CI/CD tooling

Job description

You will architect data warehouses, lakes, APIs and microservices, lead a technical team, and champion cloud-based data engineering with Databricks, CI/CD, and governance.

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