Data Architect

Nexulyze; Malaysia; On-site; MYR 180,000 - 260,000; Full time

Benefits offered by this job

Job location: Malaysia

Job type: Full-time

Number of vacancies: 10

Job summary

Nexulyze Ltd in Malaysia is seeking a high-ownership Data Architect to design scalable, enterprise-grade data systems and define the architecture behind our data infrastructure aligned with product and business strategy.

You will lead cross-functional teams, guide critical technical decisions, implement AWS-based data solutions with Glue and PySpark, and mentor engineers to raise data quality, governance, and AI readiness.

Qualifications

• 8+ years in technology roles with 5+ years in data-focused positions and at least 1 year as Data Architect.
• Proficiency in AWS cloud-native architectures, including AWS Glue.
• Strong PySpark experience for processing large-scale datasets.
• Advanced SQL for querying, data manipulation, and performance optimization.
• Deep expertise in relational and NoSQL data modeling for scalable schemas.
• Experience in enterprise-scale data environments.

Responsibilities

• Architectural Blueprinting: Design scalable data schemas across relational and NoSQL systems.
• Cloud Data Engineering: Lead AWS-native data solutions with AWS Glue and PySpark.
• ETL & Integration: Build and manage sophisticated ETL pipelines.
• Data Warehousing & Lakes: Develop data warehouses and lakes with Spark, Hadoop, Kafka.
• Governance & Security: Enforce data quality, privacy, and compliance (GDPR/PII) with MDM best practices.
• Optimization: SQL query optimization and performance tuning for large-scale systems.
• Strategic Leadership: Align data architecture with Nexulyze's goals and AI readiness.
• Mentoring & Influence: Guide engineers and promote best practices.

Skills

Data Architect experience

AWS cloud

PySpark

SQL

Relational & NoSQL modeling

ETL design

Data governance

Tools

AWS Glue

Spark

Kafka

Job description

Job Type: Full time No. of Vacancies: 1 Experience: 2 Years+

Overview

Nexulyze is seeking high-ownership Data Architects to design and scale robust, enterprise-grade data systems. You will define the architecture behind our data infrastructure, ensuring it remains scalable, secure, and aligned with long-term product and business strategy.

This role demands deep technical expertise across modern cloud ecosystems and distributed data processing frameworks, combined with structured thinking and architectural leadership. You will guide cross-functional teams, influence critical technical decisions, and set the standard for how data powers every product we build.

Responsibilities

• Architectural Blueprinting: Design and maintain scalable, high-performance data schemas, defining clear relationships between complex data entities across relational and NoSQL systems.
• Cloud Data Engineering: Lead the architecture and implementation of AWS-native data solutions, leveraging AWS Glue and PySpark for robust data processing.
• ETL & Integration: Build and manage sophisticated ETL pipelines to ensure seamless, reliable data flow across enterprise systems.
• Data Warehousing & Lakes: Develop and maintain high-performance data warehouses and lakes using Spark, Hadoop, and streaming platforms such as Kafka.
• Governance & Security: Enforce data quality, privacy, and compliance policies (GDPR/PII) while implementing master data management (MDM) best practices.
• Optimization: Perform advanced SQL query optimization and performance tuning for large-scale, high-concurrency data systems.
• Strategic Leadership: Align data architecture with Nexulyze's organizational goals, providing roadmaps for future scalability and AI/ML readiness.
• Mentoring & Influence: Collaborate with stakeholders and engineering teams to drive adoption of best practices and mentor engineering talent.

Requirements

• Experience: 8+ years in technology roles, with 5+ years in data-focused positions and at least 1 year serving as a Data Architect.
• Cloud Expertise: Proven proficiency in AWS cloud-native architectures, including hands-on experience with AWS Glue.
• Spark Mastery: Strong practical knowledge of PySpark for processing large-scale datasets efficiently.
• Advanced SQL: Expert-level ability in SQL for querying, data manipulation, and performance optimization.
• Data Modeling: Deep expertise in designing relational and NoSQL databases, with scalable and efficient schema architecture.
• Enterprise Experience: Demonstrated success in large-scale, enterprise-level data environments.

Additional Skills

• Practical experience with Data Warehousing and Big Data technologies.
• Expertise in real-time data streaming and integration using platforms like Kafka and Flink.
• Strong understanding of data governance, security standards, and compliance frameworks.
• Advanced analytical and problem-solving skills, with a focus on strategic data planning.

Nice to Have

• Familiarity with Databricks or Palantir.
• AI/ML Awareness: Interest or experience in designing architectures that support machine learning and AI model deployment.
• Experience with data streaming and real-time processing architectures.
• Proficiency in other backend languages (Python, Java, or Scala).

Nice to Have

• Communication: Ability to translate complex technical architectures into business value for stakeholders.
• Leadership: Proven ability to influence technical direction and drive consensus across teams.
• Collaboration: A team-oriented mindset with a focus on cross-functional delivery.

We offer

• Job Location: Malaysia
• Job Type: Full-time
• Number of Vacancies: 10

Strong verbal and written English proficiency is essential. We maintain a stringent vetting process to identify top-tier talent.

Our Core

At Nexulyze, our core is a disciplined collective of designers, engineers, and builders driven by precision and long-term value.

Creative Autonomy

Creative Autonomy

You own the outcome. We define direction, not limitations. At Nexulyze, decisions are made by those closest to the work.

FAST DELIBERATE DECISIVE

Speed as aStandard

We ship with clarity and intent. Execution is structured, feedback is direct, and momentum is constant.

GLOBAL REMOTE

Global by Design

Talent is not location-bound. Our team operates across time zones with shared systems, shared context, and a unified standard of excellence.