Engineering Manager, Reference Data
Staff Software Engineer building scalable frameworks for high-performance financial data ingestion/distribution and AI-native products. Requires 7+ years experience with distributed systems, microservices, and data architectures; partners with product teams to drive technical direction.
About the job
What You’ll Do
- Drive the technical direction for complex solutions in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community.
- Partner with multi-functional teams to design, develop, and deploy scalable data solutions that meet business requirements.
- Build frameworks that supports highly performant ingestion and distribution of financial data and build AI-native products, moving from initial prototype to scalable production services with high velocity.
- Evaluate and drive strategic business and technology decisions for the company and for customers.
- Be a technical thought leader in multiple areas who educates and shares best practices. Your contributions deliver strategic and prescriptive guidance.
- Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement.
Who You Are
- B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience).
- 7+ years of software engineering experience.
- Prior experience with distributed systems, microservices and messaging queues.
- Ability to own complex projects involving partners across multiple team.
- Proven ability to collaborate with and mentor other engineers.
- Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL, NoSQL, OLAP, and/or data lake architectures.
- Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary.
- Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus.
- Strong problem-solving and decision-making skills.
Skills
Distributed Systems, Microservices, Messaging Queues, Pyspark, Python, Java, SQL, NoSQL, Olap, Data Lake Architectures
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