Senior AWS Data/AI Architect

Vertical RelevanceCloud data

Source API remote eligibility restrictions: United StatesFull-TimeSenior

Salary not disclosed

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Job Details

Have professional experience architecting or operating data or DevOps solutions built on AWS.
Have customer-facing experience in software or technology.
Bring experience with AWS data architecture and data lake implementation.
Use Python or Bash for relevant technical work.
Work with relevant tooling such as Airflow, Kafka, Parquet, Spark, Metaflow, Git, or Hadoop.
Have familiarity with AWS infrastructure scripting tools such as CloudFormation, AWS CLI, or AWS CDK.
Work with AWS data services including S3, Lambda, Batch, RDS, DynamoDB, Redshift, Aurora, Neptune, VPC, Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline, IAM, and Step Functions.

Advise customers on adopting cloud and provide technical and strategic guidance.
Consult, plan, design, and implement data solutions on AWS.
Design AWS data lake implementations and data quality and governance solutions.
Help customers define data collection, ingestion, cataloging, storage, serving, and architecture approaches.
Advise on AWS services and frameworks for data ingestion, orchestration, and data processing.
Support implementation of data pipelines, monitoring, logging, alerting, retries, and error handling.
Develop technical content, automation tools, reference architectures, and white papers.
Provide customer feedback and implementation challenges to inform technology roadmaps and offerings.
Contribute to technical briefs, case studies, and blog posts.

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