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Lead Data Architect
4 weeks ago
Required Skills & Experience
- 10+ years of deep architecture and engineering expertise in: relational and NoSQL databases, data warehouse, big data/data lake, master data management, data modelling, data quality and governance, data engineering, BI reporting and analytics, data science, ML/AI, Databricks, Python, Spark, AWS, and Azure.
***Databricks, Python, Spark, AWS are non-negotiable requirements***
- Ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns
- Applied knowledge of modern application, data, and integration architectures including domain driven design, event-driven, event streaming / streaming processing, service-based/APIs, lakehouse, data mesh, data fabric, etc.
- Ability to collaborate, partner with, and effectively influence architects and engineers to adopt/adhere to enterprise standards and deliver well-architected data-centric solutions.
Nice to Have Skills & Experience
- Financial services/asset management industry expertise
Job Description
An enterprise level financial services firm is seeking a Lead Data Architect to support some current and upcoming data architecture/integration initiatives. This person will serve as the technical domain expert on foundational data and integration technologies to better support our business partners and development teams. This consultant will steer technology strategy direction, define target state architectures, roadmaps, and help build reference architectures/implementations. They will also be responsible for identifying and evaluating emerging technologies beneficial to this domain. This individual will play a significant role in mentoring and supporting architects and delivery teams on projects and initiatives across Capital. This is a 6-12 month contract with a high possibility for extension.
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