Enterprise Data Architect
7 days ago
We are seeking a highly skilled Enterprise Data Architect to join our team at Network Recruitment.
Key Responsibilities:
Shape and oversee the organization's enterprise data architecture, ensuring alignment with overall business and technical strategies.
Establish and maintain standards, best practices, and frameworks for effective data integration, storage, and security.
Design and deploy scalable, secure data platforms, databases, and systems.
Lead efforts to implement data governance, promoting data ownership, stewardship, and quality.
Ensure compliance with both regulatory requirements and internal policies, with a focus on data integrity and documentation.
Act as a bridge between technical teams and business leaders, aligning data strategies with organizational objectives.
Stay at the forefront of technological advancements, championing the adoption of cutting-edge data solutions.
Drive innovation in data management, particularly in emerging areas like big data, AI, and machine learning.
Requirements:
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a similar discipline.
Over 6 years of experience in data architecture and management, with at least 3 years in a senior, enterprise-level role.
Deep expertise in managing both relational and non-relational databases, with experience in Graph databases being essential.
Proven track record in data governance, data quality, and metadata management.
Strong understanding of cloud platforms and data integration tools.
Hands-on experience with data architecture tools and database management systems such as SQL, MySQL, GraphDB, and MongoDB.
Excellent communication skills, capable of translating technical insights into strategic recommendations.
Familiarity with data privacy regulations and AI/ML frameworks.
To be successful in this role, you will need:
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a similar discipline.
Over 6 years of experience in data architecture and management, with at least 3 years in a senior, enterprise-level role.
Deep expertise in managing both relational and non-relational databases, with experience in Graph databases being essential.
Proven track record in data governance, data quality, and metadata management.
Strong understanding of cloud platforms and data integration tools.
Hands-on experience with data architecture tools and database management systems such as SQL, MySQL, GraphDB, and MongoDB.
Excellent communication skills, capable of translating technical insights into strategic recommendations.
Familiarity with data privacy regulations and AI/ML frameworks.
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