Data Solutions Architect
3 weeks ago
At RSA, we are seeking a skilled Data Solutions Architect to play a crucial role in building in-depth knowledge of both data subjects and business domains. This position is integral to ensuring that data assets are well-understood, accurately profiled, and aligned with business requirements.
Key Responsibilities
- Data Discovery & Analysis: Perform data discovery to identify and understand data sources, data structures, and key entities within the business domain.
- Transformation Mapping: Map data transformations and create clear documentation of data flows for transparency.
- Data Testing & Quality Assurance: Conduct data profiling and testing to validate data quality, accuracy, and completeness.
- Business Domain Expertise: Build strong knowledge of business processes, data domains, and subject areas to provide meaningful insights and support data-driven decision-making.
- Data Profiling & Metadata Management: Profile data to assess its characteristics, distribution, and potential issues, facilitating data usage by other teams.
- Collaboration & Communication: Work closely with business stakeholders and data community to understand data requirements and provide necessary insights.
Requirements
- Proficiency in Python, SQL, or similar tools for in-depth data analysis, profiling, and validation.
- Strong understanding of Insurance domain business processes and an ability to align data insights with business needs.
- Experience in documenting and mapping data transformations and flows across various systems.
- Excellent skills in documenting data processes, definitions, and mappings, and the ability to communicate effectively with non-technical stakeholders.
- Knowledge of data quality assessment techniques and data testing practices to ensure data integrity.
- Strong working knowledge of Azure and Databricks.
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