Senior Data Architect, US Federal Data and Machine Learning

$138,200 - $239,000/Yr

Amazon - Herndon, VA

Full-time - Senior

Onsite - Herndon, VA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Data Architect role at Amazon Web Services (AWS) focuses on helping U.S. Federal agencies implement innovative data solutions using cloud computing technologies. The position requires a strong understanding of data architectures and integration approaches, along with consultative and leadership skills to ensure project success. The role involves collaborating with various stakeholders to design and build robust data platforms that support large-scale computing solutions, while also mentoring teams and driving innovation in data architecture practices.

Responsibilities

• Enable customers and partners to successfully use AWS by building well-architected solutions.
• Innovate customized solutions based on unique customer challenges and prior work.
• Design solutions that follow AWS best practices, ensuring they operate at large scale and high performance.
• Collaborate with AWS Engineering, Support, and Business Development teams to build optimal solutions and influence the AWS services roadmap.
• Build technical solutions for engagements with partners and customers, applying expertise to solve complex data problems.
• Deliver solutions through a combination of on-site and off-site work, ensuring customers are self-sufficient post-engagement.
• Mentor teams on data architecture best practices and guide delivery teams in adopting emerging technologies.

Requirements

• 5+ years of database experience (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis).
• 3+ years of cloud-based solution experience (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.

Nice-to-haves

• 5+ years of experience in designing, developing, and optimizing robust data architectures on AWS, including data lakes and data warehouses.
• 7+ years of experience architecting and optimizing SQL and NoSQL databases, and developing ETL processes.
• 4+ years of experience implementing distributed compute data technologies (e.g., Spark, Hive, Redshift).
• 3+ years of experience designing data architectures for machine learning and analytics platforms.
• 3+ years of experience developing and integrating APIs for data access and integration.
• 3+ years of experience leveraging modern data stack technologies for data management and querying.

Benefits

• Comprehensive medical, financial, and other benefits.
• Equity and sign-on payments as part of total compensation package.
• Flexible work hours and arrangements to support work-life balance.