Amazon Senior Data Architect US Federal Machine Learning 

United States, Texas, Arlington 

608944525

- Be great fun to work with at AWS, we have a credo of “Work hard. Have fun. Make history”. In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.- Have a strong understanding of building data platforms in support of large scale computing solutions. The ideal candidate will have past experience building successful data platforms that enable mission outcomes for customers. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly lead deep-dive education and design exercises to create truly innovative solutions built on AWS.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
Responsibilities include:Innovate - Each customer and partner comes with a unique challenge and you will be innovating on behalf of them to build a customized solution that is based on our prior work. You will also be making these solutions such that they benefit other customers and serve as building blocks for future work.Solution Design - We work with the customer stakeholders including their engineering teams to design a solution that follows AWS best practices. We work to understand customer requirements and render those as architectural models that will operate at large scale and high performance, and advise customers on how to run these architectural models on AWS.Build - You will be building highly technical solutions for engagements with partners and customers. This includes understanding customer requirements and applying your expertise to build solutions on top of AWS services that solve difficult data problems for our customers and partners. You will also work with our partners and provide advisory services to our customers on the implementation of robust data solutions on AWS.Mentor - Provide leadership and mentorship on data architecture best practices, fostering innovation and excellence. Scale out through others and guide delivery teams in adopting emerging technologies and methodologies, ensuring alignment with federal sector requirements.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
Mentorship & Career Growth
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- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree, or 7+ years of professional or military experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- Current, active US Government Security Clearance of Top Secret or above

- 5+ years of experience in designing, developing, and performance optimization of robust data architectures on AWS, including data lakes, lakehouse architectures, data warehouses
- 7+ years of experience architecting and optimizing SQL and NoSQL databases, as well as developing and maintaining ETL processes using relevant tools
- 4+ years of experience implementing distributed compute data technologies (e.g. Spark, Hive, Redshift) for scalable and secure data solutions, and utilizing query engines for efficient querying across large datasets
- 3+ years of experience designing data architectures supporting machine learning and analytics platforms
- 3+ years of experience developing and integrating APIs for seamless data access and integration across systems with multiple methods of query and processing, ensuring data accessibility, security, and optimization
- 3+ years of experience leveraging the modern data stack, including workflow orchestration tools like Airflow, data management solutions, and open-source technologies for querying and managing open table formats (e.g. Iceberg, Hudi)
- 3+ years of experience implementing and managing data governance solutions for comprehensive metadata management, discoverability, lineage, data quality, and access control