Principal Data Architect, GS S&O - Operational Excellence

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- 7+ years of technical specialist, design and architecture experience
- 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
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience working with end user or developer communities
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 7+ years of external or internal customer facing, complex and large scale project management experience

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 $164,500/year in our lowest geographic market up to $284,300/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.
We are seeking an experienced and strategic Data Architect to join our team and play a pivotal role in shaping the organization's data strategy and infrastructure. The Data Architect will be responsible for designing and overseeing the implementation of robust, scalable, and secure data architectures that support our business objectives and enable data-driven decision-making.



Key job responsibilities
• Collaborate with stakeholders across the organization to define and articulate data strategy and objectives aligned with business goals.
• Facilitate data governance and stewardship discussions, ensuring alignment on data policies, standards, and best practices.
• Establish data governance frameworks, data quality controls, and monitoring mechanisms to maintain data integrity and consistency.
• Conduct enterprise-wide data discovery and profiling to understand existing data sources, structures, and dependencies.
• Design and develop centralized data models, schemas, and data warehouse architectures that support business intelligence, analytics, and reporting requirements.
• Architect secure and efficient data integration pipelines for ingesting, transforming, and loading data from various sources, including Page0, entitlement models, and propensity models.
• Ensure data lineage and traceability across organization's data ecosystem.
• Implement data security measures, access controls, and authentication mechanisms to protect sensitive data and ensure compliance.
• Develop and implement data retention, archiving, disaster recovery, and business continuity policies and plans.
• Continuously monitor data quality, identify performance bottlenecks, and optimize data flows for efficient and reliable data delivery.
• Collaborate with business units and stakeholders to understand their data requirements, use cases, and analytical needs.
• Define requirements and specifications for data sources, models, and integrations related to Page0, entitlement models, propensity models, and other relevant initiatives.
• Design and architect end-to-end data solutions, ensuring alignment with business objectives and technical constraints.
• Work closely with data engineers, business intelligence engineers, and other data professionals to ensure seamless collaboration and alignment across the data ecosystem.
• Provide guidance, mentorship, and knowledge transfer to cross-functional teams on data architecture best practices and emerging technologies.
• Promote adoption of data-driven decision-making and foster a data-centric culture within the organization.

A day in the life
Amazon Web Services (AWS) provides a scalable cloud computing platform to companies globally. AWS Global Services (GS), formed in 2022, delivers customer success throughout the cloud adoption lifecycle. Our 25K+ employees and integrated offerings enable us to combine technology and human expertise to maximize and accelerate customer outcomes.
GS is comprised of four primary business units: 1) Global Services Security (GSS) provides security guidance and offerings, 2) Training & Certification (T&C) offers cloud skills training and certification, 3) Professional Services (ProServe) provides consulting and hands-on-keyboard services, and 4) Support and AWS Managed Services (Support) delivers 24/7 technical support and managed services.
Together, these teams continuously improve our systems and processes to enable better results for both customers and employees, with the GS Strategy & Operations (GSS) teams supporting each. GSSO enables integrated business support, product management, planning, and deal strategy for GS. GSSO understands customer experiences and inspires bold ideas to deliver the best experiences and solutions to our customers. We embrace scientific thinking, pursue continuous improvement, and develop talent to provide world-class support across GS.


About the team
About AWS

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS?
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Inclusive Team Culture
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Mentorship & Career Growth
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Work/Life Balance
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About Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.