Data Engineer

HORIZON SOFTWARE PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading software company in Singapore is seeking a seasoned data professional to lead end-to-end data platform implementations on Databricks. The ideal candidate should have over 10 years in the data industry, including significant experience with Databricks and cloud architecture. Responsibilities include aligning data strategies with AI initiatives, mentoring teams, and delivering high-quality data solutions. Strong communication skills and a consultative approach are crucial for success in this dynamic role.

Qualifications

• 10+ years in data industry performing solutioning, architecting and engineering tasks.
• 3+ years on Databricks solution implementation.
• Proven consulting/services experience and ability to present solutions to senior client stakeholders.

Responsibilities

• Lead end-to-end data platform implementations on Databricks, ensuring scalable and high-quality delivery.
• Align data architecture with AI/ML initiatives and guide clients on data readiness for AI.
• Mentor and develop data engineering and architecture teams.

Skills

Data industry experience

Databricks implementation

Cloud architecture knowledge (AWS)

Data modeling

Spark, SQL, ETL/ELT

Communication and client-facing skills

Tools

Databricks

MLflow

Delta Lake

Job description

Requirements (Mandatory)

• 10+ years in data industry performing solutioning, architecting and engineering tasks.
• 3+ years on databricks solution implementation.
• Proven consulting/services experience and ability to present solutions to senior client stakeholders.
• Hands‑on experience in leading a large data platform implementations
• Deep expertise in Databricks with lakehouse architectures, MLflow, Delta Lake.

• Strong cloud concepts and architecture knowledge (AWS).
• Data modelling, Spark, SQL, ETL/ELT, and orchestration tools.
• Understanding of data governance with Unity Catalog, security, and modern data platform design.

Requirements (Nice to have)

• Knowledge of AI/ML requirements and the ability to work with AI/ML experts.
• Pre‑sales experience including Use case definition, POC creation and RFP responses.
• Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools.
• Databricks or AWS certifications.
• Excellent communication, client‑facing abilities, and solution articulation.
• Hands‑on, consultative, and able to lead teams and delivery.

Job Responsibilities

• Lead end‑to‑end data platform implementations on Databricks, ensuring scalable and high‑quality delivery.
• Align data architecture with AI/ML initiatives and guide clients on data readiness for AI.
• Mentor and develop data engineering and architecture teams.
• Contribute to internal Solution Review Board with the best practices, reference architectures, and reusable assets