
Chief Enterprise Data Architect
3 days ago
Enterprise Data Model Architect
Job Description:
Design and implement large-scale data architectures using cutting-edge methodologies.
Utilize enterprise data modeling principles to develop robust, scalable, and maintainable data models.
Collaborate with cross-functional teams to deliver high-quality data solutions.
Key Responsibilities:
- Develop and refine data models in accordance with industry best practices.
- Work closely with business stakeholders to gather requirements and translate them into technical data models.
- Ensure data quality, governance, and lineage throughout the entire data lifecycle.
- Partner with ETL/ELT teams to implement large-scale data transformations.
- Engage with technical stakeholders to provide updates on project progress and address technical concerns.
Essential Skills and Qualifications:
- Proven experience in designing and implementing large-scale data architectures.
- Strong understanding of enterprise data modeling principles and best practices.
- Expertise in cloud data platforms (e.g., AWS, Azure, GCP) and data warehouse architectures.
- Thorough knowledge of ETL/ELT tools and techniques.
- Excellent communication and stakeholder management skills.
- Strong problem-solving and analytical abilities.
Benefits:
Opportunity to work on complex, high-impact projects that drive business growth and innovation.
Chance to collaborate with experienced professionals in the field of data engineering.
Professional development opportunities to enhance your skills and expertise.
Requirements:
- Bachelor's degree in Computer Science or related field.
- Minimum 5 years of experience in data engineering and architecture.
- Experience with agile development methodologies and DevOps practices.
- Strong understanding of data security, compliance, and governance.
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