Hybrid Data Architect, Mandarin Speaking

at TMGM

• Job title: Data Architect, Mandarin Speaking
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Kafka, MySQL, Python, Scala, SQL, Vault
• Location requirements: Hybrid, Sydney, Australia

About the role

• Data Architect leading data architecture and design for LifeByte's technology ecosystem. Collaborating with multiple teams to ensure robust data governance, compliance, and innovative strategies.

Responsibilities

• Define end-to-end data platform architecture spanning ingestion, storage, processing, and serving layers, leveraging MySQL for OLTP workloads and Snowflake, StarRocks, and ClickHouse for analytical and reporting needs
• Design batch and real-time data pipelines for trading, risk, regulatory, and customer data, establishing clear SLAs with consumers
• Create reference architectures and decision frameworks for data-intensive services, determining optimal use cases for each technology (e.g., when to use StarRocks vs. ClickHouse for specific analytical workloads)
• Design data models and storage strategies balancing transactional consistency (MySQL), analytical performance (StarRocks/ClickHouse), and cost efficiency (Snowflake)
• Lead architectural reviews and provide strategic guidance to domain teams on data strategy, technology choices, and scalability
• Drive the adoption of modern architectural patterns including event-driven architecture, data mesh, and lakehouse paradigms
• Partner with engineering, analytics, and product teams to deliver robust, business-aligned data solutions
• Mentor data engineers and analysts on architectural best practices
• Establish data governance frameworks including data classification, lineage tracking, quality standards, and security requirements across our MySQL and data warehouse environments
• Collaborate with Risk, Finance, and Compliance teams to ensure data architectures meet regulatory and audit requirements (e.g., MAS, FCA, GDPR, DORA)
• Define and promote golden sources of trusted data as the foundation for analytics and decision-making
• Implement data privacy, security, and governance principles to meet enterprise and regulatory expectations
• Evaluate emerging technologies and recommend improvements to strengthen the organization's data ecosystem
• Optimize query performance and cost efficiency across Snowflake, StarRocks, and ClickHouse
• Provide strategic insights to senior leadership on leveraging data and analytics for competitive advantage
• Contribute to the evolution of our data strategy, ensuring alignment with business objectives and industry trends

Requirements

• 7–14 years of experience in data engineering and/or data architecture, with at least 3+ years in an architecture or principal engineer role
• Proven track record designing and scaling data platforms in financial services, trading, or other regulated, high-volume environments
• Deep understanding of CFD/trading data domains: customer, account, transaction, trading, portfolios, positions, risk, and regulatory reporting
• Experience designing solutions in regulated environments with strong data privacy, security, and compliance requirements
• Strong experience with MySQL, including data modeling, replication, and integration with analytical platforms
• Deep expertise with Snowflake, StarRocks, and ClickHouse, including designing efficient table structures and partitioning strategies, query optimization and performance tuning, data ingestion patterns (batch and real-time), cost management and workload optimization
• Experience with data integration tools and pipelines connecting MySQL to Snowflake/StarRocks/ClickHouse; familiarity with Kafka, Flink, or similar streaming technologies
• Proficiency in data modeling techniques (3NF, dimensional, data vault) and tools; experience designing for both OLTP (MySQL) and OLAP (Snowflake/StarRocks/ClickHouse) workloads
• Understanding of data governance, metadata management, and data cataloging tools (e.g., Purview, Collibra, or similar)
• Strong SQL skills; proficiency in Python or Scala for data pipeline development
• Excellent stakeholder management and collaboration skills across technical and business teams
• Strong ability to communicate complex architectural concepts to both technical teams and non-technical stakeholders
• Proven mentorship and coaching abilities for engineering teams
• Strategic thinking with ability to provide insights to senior leadership
• Experience influencing organizational practices, standards, and tool selection across multiple teams
• Nice to Have: Experience with specific financial industry data models (e.g., BIAN); knowledge of real-time analytics architectures leveraging StarRocks or ClickHouse; experience with data quality frameworks and testing strategies for batch and streaming pipelines; familiarity with infrastructure as code, DevOps, and DataOps practices; relevant cloud certifications (AWS, AWS Lambda, AWS EMR, AWS Athena, AWS Glue); experience with Snowpipe, Kafka, or other real-time data ingestion tools.

Benefits

• Competitive salary and performance-based bonuses.
• Opportunities for career growth and development within a global company.
• Collaborative and inclusive work environment with exposure to cross-region operations.
• Health and wellness benefits.
• Flexible working arrangements.