Manager, Investment Engineering (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Manager, Investment Engineering (Analytics Platforms): Building and optimizing a highly scalable data platform for investment analytics with an accent on multi-source data unification and high-concurrency API design. Focus on architecting robust compute layers, mentoring engineers, and ensuring data quality for institutional investment datasets.
Location: Austin, USA (Not eligible for immigration sponsorship)
Company
is a global investment firm that utilizes a data-driven approach to implement investment processes and provide analytics for institutional clients.
What you will do
- Lead the design and evolution of a scalable, secure data platform for batch and real-time processing of investment data.
- Architect infrastructure to support high-concurrency client-facing digital tools and low-latency internal analytics.
- Implement robust data patterns and optimized compute layers to enable efficient ad hoc querying by investment professionals.
- Manage and mentor a team of high-performing investment engineers, participating in system design and critical code reviews.
- Establish comprehensive data quality frameworks, lineage tracking, and security controls.
- Collaborate with product managers and technology executives to define data contracts, SLAs, and infrastructure roadmaps.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or a related technical field.
- 10+ years of hands-on data engineering experience with a track record of architecting enterprise data platforms.
- Deep expertise in production Python, advanced SQL tuning, Airflow, and dbt.
- Strong experience designing robust APIs and streaming architectures using Kafka.
- Master-level understanding of data warehousing, semantic layer design, and financial market modeling.
- 3+ years of direct engineering management experience, including recruiting and balancing technical debt with delivery.
Nice to have
- Familiarity with institutional investment datasets from vendors such as Bloomberg, FactSet, or MSCI.
Culture & Benefits
- Comprehensive health and wellness benefits.
- Educational initiatives for professional development.
- Culture of growth and celebration of company history.
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