Manager Data Architect
Employment Info
JOB DETAILS
Requirements
- At least 12 years of experience in data engineering, with a focus on data technologies.
- Strong expertise in data architecture, data modeling, and extract, transform, and load/extract, load, and transform processes.
- Proficiency in cloud-based data solutions, including Amazon Web Services, Google Cloud Platform, or Azure.
- Experience with real-time data processing using Kafka, Flink, or similar technologies.
- Strong understanding of data governance, security, and compliance frameworks.
- Knowledge of SQL, NoSQL databases, and data warehousing solutions.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Experience with performance optimization.
Responsibilities
- Evaluate requirements and current state to design scalable architectures for enterprise data platforms, ensuring high performance, reliability, and cost effectiveness.
- Validate target-state designs with client technical subject matter experts and secure executive buy-in, translating architecture into roadmaps and business value.
- Lead efforts to improve data quality, data lineage, and master data management, and establish best practices for data governance, security, and compliance.
- Collaborate with data scientists, business analysts, and engineering teams to deliver data-driven solutions.
- Ensure seamless integration of data across cloud services, software as a service, and on-premise applications, with a variety of structured and unstructured formats.
- Develop data models and modeling standards across conceptual, logical, and physical layers, with metadata and data dictionaries to ensure consistency and accuracy.
- Provide technical leadership and mentorship to client and delivery teams, ensuring best practices and innovation.
- Leverage artificial intelligence to augment production of quality deliverables.
- Stay updated on emerging trends in artificial intelligence and cloud-based data solutions to drive continuous improvement and commercial advantage for clients.
Desired Qualifications
- Experience with artificial intelligence and machine learning data pipelines and model deployment.
- Knowledge of graph databases and data virtualization.
- Strong understanding of data mesh and modern data architecture principles.
Are you interested in this position?
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