REMOTE Data Platform Architect/Engineer for Modern Data Lake
Software Guidance & Assistance, Inc. (SGA, Inc.) Work from Home/Remote Full-Time
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Job Description
Software Guidance & Assistance, Inc., (SGA), is searching for a REMOTE Data Platform Architect/Engineer for Modern Data Lake for a FULL TIME assignment with one of our premier SaaS/ FinTech clients 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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