REMOTE Data Platform Architect/Engineer for Modern Data Lake

Employer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Location
Washington, DC
Posted
Dec 05, 2022
Closes
Dec 07, 2022
Ref
724397650
Hours
Full Time
A$ A' "A' ?Job DescriptionSoftware Guidance & Assistance, Inc., (SGA), is searching for a REMOTE Data Platform Architect/Engineer for Modern Data Lakefor a FULL TIME assignment with one of our premier SaaS/ FinTechclients based out of New York City, NY. This individual must have worked on the design/buildout of a Data Lake from scratch in the past. Must have experience in a major Cloud platform (AWS is being used in this environment but any is acceptable).This position is fully remote, supporting EST hours, but candidate must be located in/working out of one of the following states:NY/NJ/CT/PA/MA/IL/FL/TX/OH/NC/MN Software Engineers on this team should have a strong background in distributed systems and modern data lake technology and infrastructure. In this role you will help architect and implement the next generation of our data platform.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 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 deadlinesQualifications The ideal candidate will have a strong academic background in computer science and 3+ years of relevant experience as a software engineer at a top startup or technology firm Expertise in at least one of the following: Kafka, ZeroMQ, AWS SNS/SQS, or equivalent streaming technology Spark, Flink, Beam, or equivalent streaming data processing frameworks Iceberg, delta lake, or other data lake table formats and supporting tooling Fluency with Java, Kotlin, Scala, or any other JVM language Familiarity with relational databases like Postgres, MSSQL, or Sqlite Track record and appetite for building and launching new data products from scratch