Staff Data Architect Job in Yellomonkey Labs
Staff Data Architect
Yellomonkey Labs
4+ weeks ago
- Bhubaneswar, Khordha, Odisha
- Not Disclosed
- Full-time
- Permanent
Job Summary
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
Experience Required :
11 to 15 Years
Vacancy :
2 - 4 Hires
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