AWS Data Architect

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Job Description

Location: Sunnyvale, CA

Covalent Metrology is seeking an experienced AWS data architect to design, implement and operate stable, scalable, low-cost data storage and analytics solutions to flow data from production systems into the data lake.

Position Responsibilities

  • Translate complex functional and technical requirements into detailed architecture and design.
  • Leverage data to develop business insights and customer solutions.
  • Develop complex pipelines to provide services that will impact day-to-day operational decisions.
  • Gather and understand data requirements through collaboration with scientists and engineers to build the data pipelines and achieve high quality data ingestion.
  • Build systems that ingest massive amounts of structured and unstructured data with both real time and batch processing methods to allow efficient analytics and modeling.
  • Build and deploy data pipelines on AWS to enable AI & ML capabilities.
  • Create production ready data workflows including automations and CI/CD pipelines and ensure data quality and availability.
  • Perform ad-hoc analysis and present results in a clear manner, researching and selecting any new Big Data tools, technologies or frameworks required to provide requested capabilities.
  • Demonstrate efficiency in handling data – tracking data lineage, ensuring data quality, and improving discoverability of data.

Desired Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field
  • 8+ years of experience as a software or data engineer responsible for data platform implementation
  • Hands-on experience with building data or machine learning pipelines
  • Crafted and implemented operational data stores, as well as data lakes in production environments.
  • Experience implementing AWS services including AWS Glue, S3, Athena, DynamoDB, Lambda and RDS
  • Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
  • Experience developing software code in one or more programming languages (C#, Java, JavaScript, Python)
  • Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras
  • Experience with DevOps, Continuous Integration and Continuous Delivery
  • Experience working in an Agile development environment

Covalent is an Equal Opportunity Employer and encourages candidates with diverse experience sets to apply.

Covalent participates in E-Verify.

More About Covalent

Covalent Metrology’s mission is to level the playing field and ensure that clients of all sizes have access to outstanding data generated quickly and cost-effectively. High quality experimental data is the lifeblood of any successful commercial R&D program. Too many companies operate blindly without critical data because the proper tool is not available in-house and sending samples out to service labs can be slow, frustrating, and expensive. Data that is generated in-house can be unreliable or imprecise if tools are not properly calibrated, are obsolete, in disrepair or not properly operated.

Covalent’s Analytical Services and Metrology Partners units are open for business and on a mission to provide and enable better, faster, and cheaper data for every client. Covalent now has over 500 customers in 20+ industries and a new 24,000 ft lab in Sunnyvale, CA houses >$10M in state-of-the-art analytical instrumentation.