- Lead the design and architecture of on-premise Data Warehouse solutions, considering scalability, performance, and data security requirements.
- Implement the identified requirement in the conceptual, logical, and physical/schema models.
- Evaluate and compare on-premise Data Warehouse technologies based on their capabilities, performance benchmarks, and suitability for handling varying data volumes and complexities.
- Design best in class architecture optimized for business objective like data availability, data write-back capability, speed to display, etc.
- Identify and implement performance optimization techniques to enhance the speed and efficiency of data retrieval and processing within the Data Warehouse environment.
- Conduct capacity planning assessments to anticipate future data growth and infrastructure requirements, recommending hardware and software upgrades as needed.
- Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand data requirements and drive alignment on Data Warehouse solutions.
- Work with customers and Product owners to validate concepts and requirements.
- Oversee and provides guidance and solutions to complex technical problems by challenging traditional technical assumptions.
- Identify any gaps in functionality or user experience proactively.
- Implement robust security measures and access controls to safeguard sensitive data stored within the Data Warehouse, ensuring compliance with regulatory standards and industry best practices.
- Helping team in understanding Technical Architecture and Functional flows.
- Create mapping documents showing data movement, in partnership with the sourcing system. Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field (Master's degree preferred).
- Minimum of 8 years of experience in data architecture, with a focus on designing and implementing on-premise Data Warehouse solutions.
- Deep expertise with on-premise Data Management (Enterprise Information Management, Data Warehousing, Data Lakes, Cloud Data Platforms, Data Modelling, ETL, Databases etc).
- Experience with Enterprise Data Modelling (Third Normal Form/3NF) including the managing of standardized Metadata conventions.
- Extensive experience with on-premise DWH implementation, adept at DWH, ETL and Data Quality.
- Experience with Enterprise Data Modelling, Logical Data Modelling and Conceptual Data Modelling.
- Demonstrated experience in architecting Data & Analytics solutions on cloud data platforms.
- Excellent analytical and problem-solving skills, with the ability to troubleshoot complex issues and optimize system performance.
- Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.
- Experience in project management and Agile methodology.
- Ability to travel onsite (Canada, US etc) to visit customers .
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Technical Architect - Pune, India - R Systems
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Description
Data ArchitectWe are seeking an experienced Data Architect with a proven track record in designing, implementing, and optimizing on-premise Data Warehouse (DWH) solutions. The ideal candidate will possess deep technical expertise in data architecture, ETL processes, data modeling, and DWH administration. The candidate will be responsible for leading design, development and maintenance of on-premise DWH solution, ensuring scalability, performance, and data integrity.
Responsibilities