Data Architect

About Axi

Axi was founded in Sydney in 2007 as a two-person startup. It has grown into a top global brokerage that’s trusted by tens of thousands of clients in 100+ countries. We offer a multi-asset trading service that allows clients of all levels to achieve their goals by trading and investing in global financial markets.

Our success is built on having top products, cutting-edge trading technology, award-winning service, and by having a great team of people working together all around the world – we hope you’ll enjoy getting to know them!

Axi is proud to have an honest and trusted reputation, with the Axi Group of companies operating under full financial regulation in different regions around the world, governed by ASIC, FCA, DFSA, FMA and CySec.

 

Major Responsibilities

Architecture & Design

• Design, develop, and maintain scalable, secure, and high-performance data architectures leveraging Apache Spark and distributed systems

• Define reference architectures and blueprints for data ingestion, transformation, and reporting to guide engineering teams

• Define data models, pipelines, and frameworks to ensure quality, consistency, and scalability

Technical Leadership & Implementation

• Lead the adoption of streaming technologies (Kafka, Spark Structured Streaming, Delta Live Tables) to enable real-time data processing

• Support both batch and streaming use cases for business-critical applications

• Implement and enforce governance, security, and compliance principles to meet enterprise and regulatory requirements (e.g., GDPR, DORA)

• Optimize ETL/ELT workflows for scalability, resilience, and cost efficiency across cloud environments (Azure, AWS, GCP)

Governance & Standards

• Define and promote golden sources of trusted data as the foundation for analytics and decision-making

• Establish best practices for data lineage, metadata management, and monitoring to provide visibility and trust in the data ecosystem

• Define and maintain monitoring and alerting frameworks to ensure platform reliability

Collaboration & Leadership

• Partner with engineering, analytics, and product teams to deliver robust and business-aligned data solutions

• Act as a champion for treating data as a product, ensuring adoption and trust across the organization

• Mentor and guide data engineers and analysts on architectural best practices

Innovation & Strategy

• Evaluate emerging technologies and recommend improvements to strengthen the organisation’s data ecosystem

• Provide strategic insights to senior leadership on leveraging data and analytics for competitive advantage

 

Requirements

Experience with Real World Data Platforms

• Proven experience of developing and running a data platform at scale

• Expert-level proficiency in Apache Spark and distributed data processing systems

• Strong experience with streaming technologies (Kafka, Spark Structured Streaming, Delta Live Tables)

• Deep knowledge of both batch and real-time data processing architectures

• Hands-on experience with cloud platforms (Azure, AWS, GCP) and their data services

• Proficiency in designing and optimizing ETL/ELT workflows

Data Management & Governance

• Strong understanding of data governance, security, and compliance frameworks (GDPR, DORA, etc.)

• Experience with data modeling, metadata management, and data lineage tools

• Knowledge of data quality frameworks and monitoring systems

Leadership & Communication

• Excellent stakeholder management and collaboration skills across technical and business teams

• Proven mentorship and coaching abilities for data engineering teams

• Strong strategic thinking with ability to provide insights to senior leadership

• Ability to champion initiatives and drive organizational adoption