AWS Cloud Data Architect

3 days ago


Englewood, Colorado, United States PeerSource Full time
Cloud Data Architect Job Description

PeerSource is seeking a seasoned Cloud Data Architect to design and implement scalable, secure, and efficient data solutions in the cloud.

We are looking for a highly skilled professional with 7-10 years of experience in data warehousing, particularly in cloud environments, to lead our client's AWS cloud transformation.

The ideal candidate will have expertise in AWS services, big data, and machine learning frameworks, with a strong focus on data engineering and machine learning pipelines.

Key Responsibilities:
  • Deploying enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks.
  • Optimizing data engineering and machine learning pipelines for efficiency and scalability.
  • Reviewing architectural designs for consistency with defined target architecture and adherence to established standards.
  • Supporting the organization's data and cloud transformation initiatives.
  • Contributing to cloud strategy based on hands-on experience with cloud and data technologies.
  • Collaborating with stakeholders across the organization to deliver strategic solutions.
  • Assisting in defining and implementing both technical and business strategies for data architecture and infrastructure.
Required Skills:
  • 7-10 years of experience in data warehousing with recent experience as a Data Warehouse/Big Data Architect, particularly in cloud environments.
  • Demonstrated project experience leading AWS cloud transformations.
  • Strong experience with AWS services including EMR, Glue, S3, Athena, DynamoDB, IAM, and Lambda.
  • Proficiency with Scala/Python/Advanced Java and shell scripting.
  • Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis.
  • Experience with large-scale data integration in AWS and machine learning data pipelines using Spark.
  • Advanced SQL skills, including performance tuning for large datasets.
  • Hands-on experience with big data frameworks like MapReduce, HDFS, Hive/Impala, and AWS Athena.
  • Knowledge of managing and tuning resource management frameworks such as Yarn, Mesos, or Spark.
  • Telecommunication experience is a plus.

PeerSource is a nationwide recruiting firm that prioritizes building strong relationships with talented professionals. We offer contract, contract-to-hire, and direct hire opportunities throughout the US.



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