Principal Engineer Data Architect & Analytics role at Collins Aerospace in Puerto Rico. Focus on data gathering, analysis, and implementation in hybrid working environment.
About the role
- Develop data strategy, data roadmaps, data architecture principles, patterns, and standards, and agree and communicate.
- Work alongside the data platform capability to ensure the successful delivery of data architecture.
- Identify master data sources i.e. applications, key reference data, mapping data flows between applications, identifying data duplication / reusability opportunities, identifying data recency issues / data quality issues and the development of a data catalogue.
- Develop Data Architecture collateral (data catalogue, data models etc..) to describe and communicate data architecture best practices, patterns and standards.
- Work alongside solution architects on transformation projects to ensure technical solutions are supported by appropriate data architecture approaches.
- Own the adoption and population of data modelling and cataloguing tools.
- Manage risk and ensure compliance to protect Bupa, our people and our customers - Develop roadmap, policy, and procedures to ensure consistency in how data is sourced and used to ensure data quality and integrity: Identify, map, document, and increase visibility of enterprise data for Reporting, Analytics and Data Science solutions using Bupa data architecture guidelines.
- Work with business stakeholders to develop, implement, maintain and propagate Bupa-wide data management policies, standards and guidelines related to data assets.
- Develop communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of Bupa data.
- Advocate data use and data protection practices for Data Governance in partnership with Bupa Privacy and Security Governance teams.
Requirements
- Strong Data Governance experience covering: Data Quality, Reference Data, Master Data, Metadata, Practices, Catalogue, Classification and Glossary development
- Experience with Master Data Management, data modelling & data architecture
- Experience with Cloud (GCP) based Data Platforms, Structured and Unstructured data. - Google Cloud Platform (GCP) certification(s) or equivalent highly regarded.
- Data Modelling: - Dimensional - Entity Relational
- Strong focus on cloud first approaches
- Strong communication and stakeholders’ management skills
- Agile/Lean/Flow approach
Benefits
- 25 days holiday per year.
- Management bonus scheme
- Access to a range of services to support your physical and mental wellbeing
- Access to our confidential employee assistance programme
- Workplace pension
- Online discounts covering your everyday shopping, entertainment, eating out and more.
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