Amazon Web Services (AWS) Professional Services is seeking an experienced Data Analytics Architect/Consultant to help US Federal agencies implement innovative cloud computing solutions. This role combines technical expertise with consultative skills to design and implement scalable, distributed data architectures on AWS. The position involves working with large datasets, data visualization, complex data modeling, and ETL processes.
As a Data Analytics Architect, you'll lead medium to large-scale data projects, creating real-time data pipelines using AWS technologies like S3, Redshift, EMR, Glue, Athena, and Lake Formation. You'll collaborate with Engineering teams and Product/Finance Managers to implement advanced analytics algorithms for financial modeling and statistical analysis.
The role requires deep expertise in AWS's big data stack, including Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, and Athena. You'll guide clients in implementing ML solutions using AWS AI/ML services like SageMaker and create insightful dashboards using QuickSight.
AWS values diverse experiences and maintains an inclusive team culture through employee-led affinity groups and ongoing learning experiences. The company offers strong work-life harmony, mentorship opportunities, and career growth resources. As part of AWS Professional Services, you'll have access to collective experience from across the AWS customer base and collaborate with product teams to drive innovation.
This position requires US citizenship and offers the opportunity to work with cutting-edge cloud technologies while helping federal agencies modernize their data infrastructure. The role combines technical leadership with client consultation, making it ideal for professionals who enjoy both technical challenges and customer interaction.