Data Architect

October 15

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Ciena

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Telecommunications • Hardware • Networking

Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.

5001 - 10000 employees

Founded 1985

📡 Telecommunications

🔧 Hardware

💰 Series C on 1995-12

📋 Description

• Join Ciena as a Data Architect, a pivotal role within our Digital Asset Management team • research, develop, test, and deploy data pipelines • curate and optimize data for our internal data lake and Ciena's AI and ML applications • Collaborate with data scientists, backend developers, and frontend developers to drive AI integration across our portfolio • Design and implement scalable, secure, and efficient data architectures aligned with business objectives and technical requirements • Develop and maintain conceptual, logical, and physical data models to support organizational needs • Collaborate with IT teams, solution architects, ETL developers, and database administrators for seamless data system integration • Evaluate and select appropriate data storage and management technologies • Establish and enforce data governance policies to ensure data integrity, security, and compliance • Define metadata management practices for consistent documentation and lineage tracking • Monitor data usage, ensuring regulatory compliance, and resolve data quality issues.

🎯 Requirements

• Bachelor’s or Master’s degree (preferred) in Computer Science, Data Science, Statistics, Physics, or a related field • 7+ years of professional experience in data architecture, database design, or enterprise information management • 3+ years in data stewardship, governance, or business intelligence roles • Proven expertise in designing enterprise data models and implementing data quality frameworks • Proficiency with cloud platforms (Azure, AWS, or GCP) and cloud-native data services • Experience building tools leveraging LLMs and deploying machine learning models • Strong knowledge of data structures, data modeling, and software architecture • Excellent statistical, analytical, and problem-solving skills with a passion for innovation.

🏖️ Benefits

• medical, dental, and vision plans • participation in 401(K) (USA) & DCPP (Canada) with company matching • Employee Stock Purchase Program (ESPP) • Employee Assistance Program (EAP) • company-paid holidays • paid sick leave • vacation time