As a Principal Data Architect at Solstice, lead the design and implementation of data architecture solutions. Ensure data integrity, security, and accessibility to meet strategic organizational goals.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Platform Specialist overseeing data workflows and enhancing data quality for Stackgini's AI - driven IT solutions. Collaborating with teams to drive improvements and stakeholder support.
Data Engineer designing data pipelines in Python for a major railway industry client. Collaborate with Data Scientists and ensure code quality with agile methodologies.
Senior Data Engineer responsible for building and optimizing data pipelines for banking analytics initiatives. Collaborating with data teams to ensure data quality and readiness for enterprise use.
Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
Senior Product Manager defining platform capabilities for Data Cloud in Salesforce. Collaborating with R&D teams while shaping product strategy for Data 360 integration.
Senior Data Engineer at Goodwin enhancing data platforms and fostering data - driven culture across teams. Collaborating with IT and Finance on technology solutions and data governance practices.
Director, Data Platform Design and Strategy at MedImpact leading data platform and AI innovations to enhance healthcare services. Overseeing enterprise projects and managing teams to meet strategic goals.
Data Engineer delivering AI - and data - driven solutions for Honeywell’s industrial customers. Architecting and implementing scalable data pipelines and platforms focused on IoT and real - time data processing.