Arcesium seeks to architect and implement the next generation of its data platform to help solve complex data-driven challenges faced by sophisticated financial institutions.
Requirements
- Expertise in at least one of the following: Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology
- Expertise in at least one of the following: Spark, Flink, Beam, or equivalent streaming data processing frameworks
- Expertise in at least one of the following: Iceberg, delta lake, or other data lake table formats and supporting tooling
- Hands-on experience in building near real-time data ETL, ELT and normalization
- Fluency with Java, Kotlin, Scala, or any other JVM language
- Familiarity with relational databases like Postgres, MSSQL, or Sqlite
Responsibilities
- Build next generation technology used by some of the most sophisticated financial institutions in the world
- Design exciting new products for our offering with best of breed distributed systems technologies
- Drive solutions around data modeling, data pipelining & orchestration, data transport, and access control
- Propose and review solution design across engineering teams as they onboard onto the data platform
- Lead high-visibility engineering efforts on some of our data intensive core components
- Take a hands-on technical leadership role in guiding a group of equally talented engineers to own and deliver high quality solutions under tight market-driven deadlines
Other
- Strong academic background in computer science
- 5+ years of relevant experience as a software engineer at a top startup or technology firm
- Track record and appetite for building and launching new data products from scratch
- Experience guiding and mentoring highly skilled engineers and driving large scale engineering projects across the firm
- Remote eligible states include: NY, NJ, MA, MN, IL, FL, TX, OH
