Software Engineer Strategy Research Analytics
Overview
Lead design evolution and long-term architecture of analytics infrastructure supporting research reporting and analysis across strategies. Own critical recurring analytics pipelines and foundational datasets while guiding transition from fragmented bespoke workflows toward a standardized observable query-native platform. Shape technical direction establish reliability standards and drive consolidation efforts improving consistency scalability and reproducibility across research analytics systems.
What You'll Do9
- 1Build and scale recurring analytics pipelines using Airflow DAGs including monitoring alerting and reliability improvements
- 2Lead architectural evolution of analytics platform including schema standardization DAG consolidation and modernization of legacy workflows
- 3Drive cross-team technical alignment when consolidating duplicated or inconsistent analytics outputs
- 4Own implementation and ongoing operation of analytics pipelines ensuring critical data availability for data scientists
- 5Define and implement reliability standards SLOs observability patterns and runbooks participating in incident response and postmortems
- 6Standardize outputs from strategy workflows into unified analytics schema tables metrics definitions partitioning strategy
- 7Optimize query performance and cost for distributed engines Presto Spark and columnar formats Parquet ORC
- 8Mentor engineers through design reviews raising operational and modeling rigor
- 9Maintain base analytics tables and metrics with strong schema discipline reproducible computation
Requirements9
- 1Bachelor’s degree in Computer Science or equivalent professional experience
- 23+ years building and operating analytics or data infrastructure systems
- 3Strong proficiency in Python and SQL
- 4Deep experience with distributed query engines and large-scale compute systems
- 5Demonstrated ownership of large-scale mission-critical data infrastructure
- 6Strong data modeling expertise including schema design partitioning strategy reproducibility considerations
- 7Expertise in metadata management data lineage and robust data governance principles
- 8Familiarity with AWS cloud technologies and on-prem compute clusters such as Slurm SSH Unix
- 9Exposure to quantitative research or machine learning environments
Salary Insight
$230 - $295k per year
Location
Required Skills
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