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Data Architect Lead
2 weeks ago
About the Role
We are seeking a seasoned Data Architect Lead to spearhead our engineering teams in developing and maintaining large-scale, high-performance trading data platforms. The ideal candidate will have a strong track record of building scalable, resilient, and efficient systems while actively contributing to technical efforts.
Key Responsibilities
- Design and architect large-scale, high-performance trading data platforms with a focus on low latency and high availability.
- Apply data engineering principles to design efficient, scalable, and fault-tolerant data pipelines for trading, risk management, and reporting.
- Ensure seamless integration between trading operations and back-office systems, improving operational efficiency and automation.
- Lead cloud-native infrastructure initiatives, leveraging AWS, Kubernetes, and Terraform to deploy and scale systems efficiently.
- Foster a Dev Sec Fin Ops culture, ensuring security, compliance, and financial accountability within the development lifecycle.
- Optimise data storage and retrieval strategies, balancing performance, cost, and compliance in a financial services environment.
- Collaborate with engineering leads, risk managers, product managers, and engineering teams to enhance the overall platform capabilities.
- Provide technical leadership and mentorship, fostering a culture of innovation and professional growth.
- Stay ahead of emerging trends in cloud infrastructure, security, and blockchain technologies to drive continuous improvement.
Required Skills & Experience
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Proven experience in building and maintaining data-intensive, large-scale, high-performance trading data platforms.
- Strong expertise in Rust (or C++), Python, and Type Script for system development and automation in the financial services industry.
- Deep understanding of data engineering principles, including data modeling, ETL pipelines, and stream processing.
- Experience with financial services data workflows, including trading, middle office, and back-office operations.
- Extensive experience in cloud-native architectures, with proficiency in AWS.
- Proficient in Git Ops tools and methodologies for infrastructure automation and deployment.
- Strong background in Dev Sec Fin Ops, ensuring compliance, security, and cost efficiency across the development lifecycle.
- Hands-on experience with CI/CD pipelines, infrastructure as code (IaC), and monitoring tools.
- Experience managing and leading engineering teams, fostering collaboration, innovation, and knowledge sharing.
- Strong interpersonal skills with the ability to work effectively across cross-functional teams.
- Ability to translate complex technical concepts into clear, actionable insights for business stakeholders.
- Possession of a passion for building scalable, reliable, and secure systems in a fast-paced environment.
