Senior-Lead Architect, Data And Machine-Deep Learning Platforms

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Senior-Lead Architect, Data And Machine-Deep Learning Platforms

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    Senior/Lead Architect, Data And Machine/Deep Learning Platforms
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      San Jose
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The DAVIS Companies is looking for a Senior Architect. The Senior Architect will be Remote until the team returns on-site. This technology leader will partner with and enable operating companies (OpCos) to define, architect, develop and deploy transformative data and ML/DL platform solutions (data, analytics and/or IoT). The successful candidate will become a trusted technology adviser to our OPCOs and customers, and will work with their sales, business development, solution architects, and service teams to drive adoption and revenue. You will have a passion for inspiring, motivating, educating, designing, and building cloud-based data/AI platforms for a diverse and challenging set of markets ranging from life sciences to health care diagnostics to water to environmental sciences.

Senior Architect Responsibilities:

  • Lead, architect, design and develop secure, scalable, high-performance and reliable – and cost effective -big data and analytics (Machine Learning (ML) / Deep Learning (DL)) platform software and services.
  • Translate big data and AI customer requirements into architectural models that will operate at large scale and high performance and advise customers on how to run these architectural models.


•             8+ years of experience in architecting and building Big Data and ML products or platforms software in a software product development organization.

•             5+ years of hands-on experience in productionizing and deploying Big Data platforms and applications.

•             5+ years of the hands-on experience working with Big Data Technologies and tools: relational/SQL, distributed columnar data stores/NoSQL databases (MongoDB or Cassandra), graph databases, timeseries databases, HDFS, HBase, Map Reduce, NiFi, Spark streaming, Kafka, Sqoop, Hive, Impala, Oozie, Avro, and more.

•             7+ proficiency in one or more modern programming languages like Java, Python or Scala or Spark.

•             5+ years of experience in performance tuning, table partitioning and indexing, process threading, bucketing, UDF and UDAF, all while optimizing costs.

•             5+ years of experience on experience with AWS or Azure cloud platforms, including container platforms (Dockets/Kubernetes).

•             Google Cloud Platform fluency will be a bonus.

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