Amazon Principal Data Architect GS & - Operational Excellence 

United States, Washington, Seattle 

991236555

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
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.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.Work/Life Balance
About Sales, Marketing and Global Services (SMGS)

- 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 experiencePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.