Staff Data Architect Job in Yellomonkey Labs

Responsibilities:

• Review and understand data requirements for all existing projects of Enterprise Data Stack including data lake, data warehousing, and business analytics layers
• Gaining an understanding of the Organizational data stack s Current State and then defining the Target State Architecture and Strategy
• Facilitate the establishment and execution of the roadmap, and vision for information delivery and managementincluding the enterprise data lake, warehouse, BI, advanced analytics, and information asset management in a matrix environment
• Develop data flow models with graphical representations and abstractions of strategy and motivation, business processes, applications, data flow, and technology
• Provide technical and architectural oversight for systems and projects that are required to be reliable, massively scalable, highly available, and maintainable.
• Engage in an end-to-end approach to facilitate insights delivery leveraging all available assets
• Perform data analysis activities including data profiling, creation of data dictionaries, data transformation rules, and integration requirements.
• Develop, document, and maintain logical and physical data models for all existing data stack layers
• Architect and design solutions for data quality, reliability, and data governance
• Own conceptual data models, align and review logical data models, API definitions, and analytical data products for consistency and completeness
• Guide and mentor engineering teams to raise collective technical expertise
• Conduct proof of concept activities with key business users, data engineers, and analysts in support of advanced use cases.
• Set design patterns for application integration, data governance, and analytics development.

Required Skill Set and Experience:

• Should have 11- 15 years of experience in the field of Data Engineering.
• An understanding of the concepts and principles of data modeling and can produce relevant data models employing industry-recognized patterns and standards
• Demonstrated experience with Data Engineering, Data lake, Data warehouse design, and implementation
• Design and implementation of strategic data ecosystem oriented capabilities associated with Data Governance such as Master Data Management, Data Quality, Metadata Catalogue, Data Integration & Analytics
• Working Knowledge of cloud components required to build big data solutions (AWS, Azure, or GCP)
• Working knowledge of BI systems
• Proficient in Python, Spark, and SQL scripting for production environments
• Track record of leading within complex organizations requiring strong influence management skills the ability to work cooperatively at all levels in a matrix environment
• Demonstrated success in Baseline responsibilities described above