The Architect Office is seeking an experienced senior solution
architect/data architect
to lead the data domain solution design across LifeByte's technology ecosystem. This role is pivotal in defining and executing our data strategy, bridging the gap between business requirements and technical implementation.
You will be responsible for designing scalable, secure, and high-performance data architectures that support our trading platforms, risk management systems, regulatory reporting, and business intelligence initiatives. Working closely with engineering, data, risk, and product teams, you will establish standards, reference architectures, and governance frameworks that enable safe, fast delivery at scale.
Key Responsibilities
Architecture & Solution Design
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)
Technical Leadership
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
Data Governance & Compliance
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
Innovation & Strategy
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
Experience & Domain Knowledge
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
Technical Skills
Operational Databases:
Strong experience with
MySQL
, including data modeling, replication, and integration with analytical platforms
Data Warehousing:
Deep expertise with
Snowflake, StarRocks, and ClickHouse
, including:




Designing productive table structures and partitioning strategies
Query optimization and performance tuning
Data ingestion patterns (batch and real-time)
Cost management and workload optimization
Data Processing:
Experience with data integration tools and pipelines connecting MySQL to Snowflake/StarRocks/ClickHouse; familiarity with Kafka, Flink, or similar streaming technologies
Data Modeling:
Proficiency in data modeling techniques (3NF, dimensional, data vault) and tools; experience designing for both OLTP (MySQL) and OLAP (Snowflake/StarRocks/ClickHouse) workloads
Data Governance:
Understanding of data governance, metadata management, and data cataloging tools (e.g., Purview, Collibra, or similar)
Programming:
Strong SQL skills; proficiency in Python or Scala for data pipeline development
Soft Skills
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
Market-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.

📌 Senior Data Archiect | Mandarin Speaking (Sydney)
🏢 TMGM
📍 Sydney