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2 months ago
We are seeking an experienced and strategic Data Architect to play a pivotal role in shaping our organization's data strategy and infrastructure. As a key member of our team, you 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 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.
- Ensure data lineage and traceability across our 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 our cloud-based 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 our organization.
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.
About the TeamWe are a diverse and inclusive team that 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?We are 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/disability-accommodations to learn more.