AWS Data Architect

Optimuss Inc

United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Amazon Web Services Big Data Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing DevOps Apache Hadoop

+16 more

Apache Hive Cloud Services DataOps Sqoop Data Streaming Snowflake Apache Spark Cloudformation Data Lakes Infrastructure Automation Frameworks Apache Kafka Data Management Physical Data Models Terraform Data Pipelines Amazon Redshift

Job description

Design and architect modern data platforms using AWS and Snowflake.
Develop scalable Data Lakes, Lakehouses, and Data Warehouse solutions.
Design conceptual, logical, and physical data models.
Optimize Snowflake performance, scalability, security, and cost.
Build architecture diagrams, data flows, and technical documentation.
Provide technical leadership and collaborate with Data Engineering, BI, and business teams.
Implement DataOps, CI/CD, Infrastructure as Code (Terraform/CloudFormation), and data governance best practices.
Support AI/ML initiatives using AWS services such as SageMaker, Bedrock, Comprehend, and Rekognition.

Requirements

We are seeking an experienced Data Architect with 15 years of experience in designing and implementing enterprise-scale data platforms on AWS and Snowflake. The ideal candidate will have strong expertise in building scalable data lakes, lakehouses, data warehouses, and high-performance ETL/ELT pipelines., * Cloud: AWS, Snowflake, Redshift, Glue, Athena, EMR, Kinesis, Lake Formation

Big Data: Spark, Hadoop, Hive, Kafka, Sqoop
Data: Data Architecture, Data Modeling, ETL/ELT, Data Lakes, Lakehouses, Data Warehousing
DevOps: Terraform, CloudFormation, CI/CD, DataOps
AI/ML (Preferred): SageMaker, Bedrock, Comprehend, Rekognition

Strong communication, stakeholder management, and experience delivering secure, scalable, cloud-native data solutions are essential.