Data Architect for Enterprise Data Products
1 day ago
We are seeking an experienced Data Architect for Enterprise Data Products to join our team at RSA.
About the RoleThis is a full-time position that will focus on designing and conceptualizing data products within our organization, with a focus on enterprise-wide domains and consumer-centric models. The ideal candidate will have extensive experience in data modelling, data architecture, and design of enterprise-level data products that support both transactional and analytical needs.
Key Responsibilities- User-Centric Data Models: Develop and optimize consumer-centric, user-led data models that meet business requirements, providing intuitive and scalable solutions for different stakeholders.
- Product Canvas Development: Build data product canvases, outlining product features, user personas, use cases, and expected business outcomes.
- Data Contracts and Governance: Support and manage data contracts that define the structure, relationships, and flows between datasets. Ensure these contracts adhere to governance standards, ensuring data integrity and security.
- Cross-Functional Collaboration: Work closely with business stakeholders, data engineers, and product managers to gather requirements, design specifications, and ensure that data products are tailored to user needs and business goals.
- Scalability and Reusability: Ensure that data products are designed to be scalable and reusable, focusing on enterprise-level data domains and ensuring alignment with enterprise data architecture.
- Quality and Consistency: Embed data quality measures within the design process to ensure that data products provide consistent, accurate, and high-quality insights across the organization.
- Extensive Experience: Proven experience in data modelling, data architecture, and design of enterprise-level data products that support both transactional and analytical needs.
- Insurance Domain Expertise: Strong understanding of the Insurance domain and its complexities.
- User-Centric Design: Excellent background in designing user-centric and consumer-led data products.
- Enterprise Data Domains: Experience working with enterprise data domains, designing interoperable, scalable data models that align with business processes and use cases.
- Communication Skills: Excellent communication and collaboration skills, with the ability to gather business requirements and translate them into effective data designs.
- Technical Skills: Strong knowledge of data modelling tools, and experience in Azure, Databricks, and Lakehouse architecture implementations.
The estimated salary for this position is $120,000 - $180,000 per year, depending on experience.
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