Data Architect

Description

**Duties**:

- Developing and overseeing the data architecture strategy, ensuring the successful integration and management of data across the lake house infrastructure
- Data Architecture Design: Develop and maintain a robust data architecture strategy for the AWS Cloud-based Lake House, encompassing data modeling, data storage, data processing, and data integration across various AWS services, such as S3, Glue, Athena, and Redshift.
- Cloud Data Governance: Define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations.
- Data Integration: Design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure.
- Performance Optimization: Collaborate with data engineers and technical teams to optimize the performance and scalability of the data lake architecture, ensuring high availability and low latency for data access and processing.
- Metadata Management: Implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house.
- Data Security: Develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards.
- Collaboration and Leadership: Work closely with cross-functional teams, including data analysts, data scientists, and data engineers, to understand their data requirements and provide technical guidance on data-related initiatives.
- Data Architecture Documentation: Maintain comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes.
- Technology Evaluation: Stay informed about the latest AWS services and data
- related technologies, assessing their potential value and recommending their adoption as appropriate.
- Continuous Improvement: Continuously evaluate the effectiveness of the data architecture, identifying opportunities for enhancement and driving improvements to meet evolving business needs.

**Requirements**:
**Education Qualification**:

- Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline is required.

**General Experience**:

- Proven experience as a Data Architect, with a focus on designing and implementing data solutions in AWS cloud environments.
- Extensive knowledge of AWS cloud services, data lake architecture, and big data technologies.
- Strong understanding of data modeling principles, data governance, and data security practices.
- Demonstrated expertise in designing data integration solutions and optimizing data processing performance.
- Excellent analytical and problem-solving skills, with the ability to make data-driven decisions.
- Leadership skills to guide and mentor junior data architects and collaborate with cross-functional teams.
- AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data Analytics - Specialty, or AWS Certified Big Data - Specialty, are highly desirable.
- Strong communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders.

15 years