Senior Data Architect, US Federal Data and Machine Learning
DESCRIPTION
Do you like helping U.S. Federal agencies implement innovative data solutions? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand data architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success?
Amazon Web Services is looking for highly talented and technical consultants to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies.
Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about enabling mission outcomes. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.
We are looking for someone who will:
- 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.
- Enjoy working with US Federal customers. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of agencies and organizations.
- 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.
Our team works with customers in a variety of locations across the US. As such, team members must have the ability to travel to client locations to sell and deliver professional services as needed.
It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.
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:
Enable - AWS Professional Services has a primary mission to enable our customers and partner be successful on their journey to use AWS. We work with them to build well-architected solutions that are solving meaningful problems that help accelerate their business without worrying about managing the infrastructure to support it.
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.
Collaborate - Work with AWS Engineering, Support and Business Development teams to build optimal solutions for customers and also influence the AWS services roadmap based on customer need. We also support presales activities through guidance and validation, scoping, and being key technical leaders in customer conversations.
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.
Deliver - Engagements include combination of on-site and off-site work to build solutions as appropriate. We work with our customers and partners and help them deploy solutions in their own environment. We use Infrastructure-as-Code (IaC) to the extent possible to leverage full benefit of AWS and ensure that the customers are self-sufficient once the engagement is complete.
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.
About the team
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.