# Technical Manager/ Data Project Manager (Lead Data engineer)

> Unison Group · Singapore, Singapore · — · Posted 2026-07-10

**Workplace:** on_site

**Department:** Bharat

## Description

1.  Lead and manage large-scale **Data Engineering and Data Modernization projects**.
2.  Drive end-to-end delivery of **Data Lake build and migration initiatives**.
3.  Lead **PySpark migration and optimization projects**, ensuring performance and scalability.
4.  Design and implement modern data architectures, including **Data Lakes, Data Warehouses, and Lakehouse solutions**.
5.  Collaborate with business stakeholders, architects, and engineering teams to define data strategies and roadmaps.
6.  Provide technical leadership and mentorship to Data Engineers and Developers.
7.  Ensure best practices around:

-   Data governance
-   Data quality
-   Security and compliance
-   Performance optimization

9.  Lead data platform modernization initiatives across cloud environments.
10.  Review solution designs, architecture documents, and implementation approaches.
11.  Manage project planning, resource allocation, risks, and delivery timelines.
12.  Drive Agile delivery and ensure successful project execution.

## Requirements

-   8+ years of experience in **Data Engineering and Data Platform delivery**.
-   Minimum 3+ years of experience in a **Technical Manager or Lead role**.
-   Proven experience in delivering:

-   Data Lake implementation projects
-   Data Lake migration programs
-   PySpark migration projects
-   Large-scale data transformation initiatives

**Technical Skills**

-   Strong expertise in:

-   Python
-   PySpark
-   Spark SQL
-   SQL
-   ETL/ELT frameworks

-   Experience with:

-   Hadoop ecosystem
-   Data Lakes and Lakehouse architectures
-   Distributed data processing frameworks

-   Strong understanding of:

-   Data modeling
-   Data integration patterns
-   Batch and real-time processing

-   Experience with cloud platforms such as:

-   AWS
-   Azure
-   GCP

-   Hands-on experience with:

-   Data migration strategies
-   Performance tuning and optimisation
-   CI/CD and DevOps practices for data platforms

**Must Have**  
1\.           Hands-on experience in managing Data projects end-to-end — effort estimation, scoping, project plan, timelines, team allocation, stakeholder management  
2\.           Hands-on experience with modern Data technologies like PySpark, SQL, CML, Python on any cloud; preferred GCP  
3\.           Transform business requirements into Data solutions, manage risks, issues and dependencies  
  
**Good To Have**  
Preferred Cloud GCP

## Apply

[Apply at Unison Group](https://apply.workable.com/unisongroup/j/803BB87534/apply)

---
Powered by [Workable](https://www.workable.com)
