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REMOTE Data Platform Architect/Engineer for Modern Data Lake job in Santa Fe at Software Guidance & Assistance, Inc. (SGA, Inc.)

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REMOTE Data Platform Architect/Engineer for Modern Data Lake at Software Guidance & Assistance, Inc. (SGA, Inc.)

REMOTE Data Platform Architect/Engineer for Modern Data Lake

Software Guidance & Assistance, Inc. (SGA, Inc.) Work from Home/Remote Full-Time
Job Description


Software 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 deadlines


Qualifications


  • 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


Recommended Skills

  • Amazon Web Services
  • Apache Kafka
  • Apache Spark
  • Data Lake
  • Data Processing
  • Data Streaming
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