We are seeking an experienced AWS Data Architect to design, develop, and implement scalable, secure, and high-performance cloud data architectures on Amazon Web Services (AWS). The ideal candidate will have strong expertise in data architecture, data engineering, data lakes, data warehouses, ETL/ELT pipelines, and cloud data migration. Experience with modern data platforms, data governance, and Generative AI integration is a plus.
Key Responsibilities
- Design and implement scalable data architectures using AWS cloud services.
- Build and maintain cloud-based data lakes, data warehouses, and lakehouse solutions.
- Design and optimize ETL/ELT pipelines for batch and real-time data processing.
- Develop data ingestion, transformation, integration, and orchestration frameworks.
- Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Athena, EMR, Lambda, Kinesis, and Step Functions.
- Design data processing solutions using Python, SQL, PySpark, and Apache Spark.
- Lead on-premises-to-AWS data migration and legacy data platform modernization initiatives.
- Develop data models, data integration patterns, and metadata management strategies.
- Implement data quality, data lineage, data cataloging, governance, and security standards.
- Optimize data pipelines and storage solutions for performance, scalability, reliability, and cost efficiency.
- Design secure data access using IAM, encryption, AWS Lake Formation, and appropriate access controls.
- Collaborate with data engineers, data scientists, application architects, and business stakeholders to translate business requirements into technical solutions.
- Establish best practices for data architecture, documentation, monitoring, and operational support.
- Evaluate emerging AWS data services and recommend suitable technologies for enterprise data platforms.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Not Specified