# Lead Data Architect - AWS (Databricks / Lakehouse)

> Unison Group · Kuala Lumpur, Malaysia · Full-time · Posted 2026-03-26

**Salary:** unknown currency 13,000–19,000

**Workplace:** on_site

**Department:** Noresh

## Description

**Role Overview**

We are seeking a **Lead Data Architect** to drive the design and evolution of our **next-generation data platform on AWS**. This is a **high-impact leadership role** responsible for building scalable, cloud-native data ecosystems and enabling enterprise-wide data-driven decision-making.

You will play a critical role in **modernizing legacy data platforms**, defining **Lakehouse architecture**, and leading cross-functional teams to deliver robust, high-performance data solutions.

## Requirements

**Key Responsibilities**

**🔹 Architecture & Strategy**

-   Define and implement **enterprise-scale data architecture on AWS**
-   Lead **modernization initiatives** (Data Lake → Lakehouse using Databricks & Delta Lake)
-   Design **scalable, secure, and cost-efficient** data platforms
-   Establish **data governance, quality, and security frameworks**

**🔹 Engineering Excellence**

-   Architect and oversee development of **high-performance data pipelines** using **PySpark & Databricks**
-   Optimize **Spark workloads, partitioning strategies, and query performance**
-   Design **real-time and batch processing frameworks**

**🔹 Leadership & Delivery**

-   Lead and mentor **data engineers, BI developers, and analysts**
-   Drive delivery across **multiple data programs and initiatives**
-   Collaborate with business stakeholders to translate **data needs into scalable solutions**
-   Own **end-to-end data platform reliability and performance**

**🔹 Innovation & CoE**

-   Build and scale a **Data & Analytics Center of Excellence (CoE)**
-   Drive adoption of **best practices, reusable frameworks, and standards**
-   Evaluate and implement emerging technologies in the **AWS data ecosystem**

**Must-Have Skills & Experience**

-   **10+ years** in Data Engineering / Big Data / Data Platforms
-   **3–5+ years** of deep hands-on experience with **Databricks on AWS**
-   Strong expertise in:

-   **Apache Spark (internals, optimization, distributed computing)**
-   **Delta Lake & Lakehouse architecture**
-   **AWS services** (S3, EMR, Glue, Redshift, Lambda, IAM, etc.)

-   Proven experience with **large-scale data platforms** (Hadoop, Hive, HDFS)
-   Strong proficiency in **Python, PySpark, and SQL**
-   Experience designing **data lakes, data warehouses, and hybrid architectures**
-   Expertise in **data orchestration tools** (Airflow, etc.)
-   Strong understanding of **CI/CD, Git, and DevOps for data pipelines**

-   Experience with **real-time streaming (Kafka, Kinesis)**
-   Exposure to **multi-cloud environments (Azure / GCP)**
-   Knowledge of **Data Mesh or Data Fabric concepts**
-   Experience in **domain-driven data architecture**

**👥 Leadership Expectations**

-   Proven ability to **lead cross-functional teams**
-   Experience working with **enterprise stakeholders and clients**
-   Strong communication and **decision-making skills**
-   Ability to drive **data strategy and organizational adoption**

## Benefits

-   **Employment visa sponsorship**
-   **Dependent visa support**
-   **Flight ticket coverage**
-   **Two weeks of free accommodation**
-   **Group insurance with inpatient and outpatient allowances**

## Apply

[Apply at Unison Group](https://apply.workable.com/unisongroup/j/9B6CA11270/apply)

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