Title: Senior AWS Data Architect
Location: Irvine CA
Type: Contract to hire
Key Responsibilities:
- Data Architecture Design: Develop maintain and optimize complex data architectures using AWS services such as Redshift RDS S3 Glue and Athena and Snowflake ensuring high availability scalability and performance.
- Data Integration & ETL Pipelines: Design and build ETL workflows using AWS Glue Lambda and other tools to ingest data from various sources into a unified data environment.
- Data Governance & Security: Implement data governance best practices ensuring data quality security compliance and proper access controls within AWS and Snowflake environments.
- Database Management: Oversee the setup configuration and maintenance of data stores including both relational and NoSQL databases like DynamoDB Redshift and Snowflake.
- Performance Optimisation: Monitor and improve data performance and storage costs implementing best practices for data partitioning compression and caching on AWS and Snowflake.
- Collaboration & Stakeholder Engagement: Work closely with data engineers analysts and business stakeholders to understand data needs and provide reliable solutions.
- Documentation & Standards: Document data architectures data flows and standards to ensure consistent and repeatable processes across teams.
Professional Experience
- Over 10 years experience in designing planning maintaining and implementing large data platforms and applications both on-premises and in cloud.
- Experienced as AWS Cloud Solutions Architect or Big Data Architect Senior Software Engineer
- Skilled in Agile Scrum SDLC delivering operations specifications development testing and maintenance.
- Strong experience with ETL Technologies using AWS PySpark Informatica etc
- Expert in product support and analytics insights (BI) data mining modeling algorithm development and simulations.
Technical Skills
- Cloud & Orchestration: AWS (EC2 EBS S3 IAM VPC Route53 ELB CloudWatch) ECS Docker CloudFormation Elastic Beanstalk.
- Databases: PostgreSQL MySQL SQL Server DynamoDB Datawarehouse.
- Languages: PySpark Python SQL R.
- ETL & Big Data: Informatica PowerCenter Kafka
- BI Tools: Tableau Power BI Splunk.