
Senior AWS Cloud Data Architect
Posted 2 hours ago

Posted 2 hours ago
This is a fully remote position, open to applicants in United States.
• Assist customers in defining their path towards cloud adoption while offering both technical and strategic advice throughout their 'cloud journey'.
• Consult, strategize, design, and execute Data solutions in the cloud for clients.
• Create implementations for AWS Data Lakes.
• Support customers in deploying Amazon Virtual Private Cloud (Amazon VPC), account management, and Amazon Simple Storage Service (Amazon S3) bucket strategies, ensuring the effective integration of essential data for a data lake.
• Aid customers in realizing a modern big data lambda architecture, enabling the effective consumption and use of data from both batch and streaming sources.
• Produce high-quality technical materials such as automation tools, reference architectures, and white papers to support customers in their cloud initiatives.
• Facilitate solution development by relaying customer requirements and feedback as contributions to technology roadmaps.
• Assist in creating technical briefs that outline solutions.
• Help with the implementation of reference architectures.
• Proven experience in architecting and operating Data / DevOps solutions on AWS and Azure platforms.
• Background in technology or software with customer-facing roles.
• Familiarity with Apache Iceberg, Sagemaker, SageMaker Lakehouse, SageMaker Catalog, and Terraform.
• Experience with database migration processes, specifically Aurora PostgreSQL.
• Proficiency in using Athena, Redshift, EMR, Glue, DataBricks, and/or Snowflake.
• Competence in configuring and managing AWS Glue Data Catalog.
• Skills in Python/PySpark for automating metadata processes.
• Experience in implementing data governance frameworks.
• Development of metadata ingestion pipelines.
• Knowledge of DCAM/DAMA frameworks.
• Understanding of Lake Formation security models.
• Experience in designing enterprise taxonomies.
• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development
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