Data Engineer role focused on building and evolving a cloud data lake. Join Grupo Soma in shaping innovative data solutions.
SF
Hybrid Director, Quant Data Engineering
Posted 4 months ago
About the role
- Quant Data Engineer leading database engineering efforts within Asset Management Technology. Designing and optimizing Oracle PL/SQL solutions for critical risk analytics and reporting workflows.
Responsibilities
- Lead the design and development of Oracle PL/SQL database processes, procedures, and packages to support investment risk analytics
- Architect scalable and efficient database solutions for high-volume, time-sensitive risk data
- Collaborate with risk managers, quantitative analysts, and engineering teams to gather requirements and deliver robust data solutions
- Own performance tuning, query optimization, and troubleshooting of production database issues
- Ensure data integrity, quality, and governance across systems
- Drive modernization efforts, including migration from legacy systems and adoption of best practices
- Define and enforce database development standards and documentation
- Act as a strategic partner in planning long-term data architecture and infrastructure initiatives
- Apply validated quality software engineering practices through all phases of development
- Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support
- Provide mentorship and technical guidance to junior developers
Requirements
- 10+ years of hands-on experience in Oracle PL/SQL development and database engineering
- Proven expertise in designing and implementing complex database solutions in a production environment
- Strong understanding of relational database design, indexing strategies, and performance optimization
- Experience working with investment risk systems or financial data is highly preferred
- Excellent communication and stakeholder management skills
- Ability to lead cross-functional initiatives and work independently
- Familiarity with tools such as Jira, Git, and CI/CD pipelines
- Experience with data modeling and ETL frameworks
- Exposure to Python or other scripting languages for data integration
- Knowledge of cloud-based database solutions (e.g., AWS RDS, Snowflake) is a plus
- Understanding of financial instruments, risk models, or portfolio analytics is beneficial
Benefits
- Comprehensive health care coverage and emotional well-being support
- Market-leading retirement
- Generous paid time off and parental leave
- Charitable giving employee match program
- Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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