
Chief Architect for Large-Scale Data Systems
1 day ago
The Team Lead for Advanced Data Systems Delivery is responsible for overseeing the design, deployment, and maintenance of large-scale data systems. This role requires expertise in data architecture, system optimization, and leadership.
- Lead the end-to-end delivery of advanced data systems for mission-critical Tier 1 applications.
- Ensure solutions meet scalability, performance, availability, security, and SLA requirements.
- Design and implement data architectures that support high-scale environments and real-time workloads.
Key Responsibilities:
- Project Leadership & Delivery: Oversee the team to deliver advanced data systems, ensuring timely completion and quality standards.
- Data Architecture Leadership: Design and oversee the implementation of robust data architectures, focusing on scalability, performance, and accessibility.
- Team Management: Manage a team of data engineers, architects, and performance engineers, fostering technical excellence and collaboration.
Technical Expertise:
- Oversee the deployment of high-scale, mission-critical systems handling real-time and batch processing workloads.
- Design and scale system topologies using AI-driven tools like ArcOne AI.
- Optimize data processing frameworks (e.g., Apache Kafka, Spark) and databases (e.g., SQL, NoSQL) for low latency and high throughput.
Collaboration & Stakeholder Engagement:
- Act as the primary point of contact for stakeholders, translating business requirements into technical solutions.
- Collaborate with infrastructure, platform, AI, and product teams to align on system design, performance, and data architecture goals.
System Design & Optimization:
- Design and implement data architectures that support high-scale environments and real-time workloads.
- Optimize real-time and batch processing workloads for high-scale environments.
Process & Standards:
- Define and enforce best practices for advanced data systems delivery, data architecture, CI/CD pipelines, and performance testing strategies.
- Develop and monitor SLAs/SLOs for latency, throughput, data availability, and system reliability.
Qualifications:
- 7+ years of experience in delivering advanced data systems or similar solutions, with at least 3 years in a leadership or team lead role.
- Proven track record of deploying high-scale, mission-critical Tier 1 systems with real-time and batch workloads.
Preferred Qualifications:
- Experience with the ArcOne AI platform for system design and optimization.
- Certification in cloud platforms, data engineering, or data architecture.
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