
Advanced Data Systems Delivery Director
1 day ago
We are seeking a seasoned professional to lead our Advanced Data Systems Delivery team.
About the RoleAs a Team Lead, you will oversee the end-to-end delivery of advanced data systems for mission-critical applications. This includes leading a team responsible for designing, deploying, and maintaining high-performance, scalable data solutions.
The ideal candidate will have deep expertise in deploying real-time and batch processing systems, utilizing industry-leading platforms to architect topologies that meet performance and scalability requirements.
Key Responsibilities- Lead a team of data engineers, architects, and performance engineers to design, deploy, and maintain data architectures that support complex real-time and batch workloads.
- Ensure solutions meet key performance indicators (KPIs) such as scalability, performance, availability, and security, delivering on time, within scope, and budget.
- Utilize industry-leading platforms to design, scale, and tune system topologies to support high-scale environments.
- Architect and oversee the implementation of robust, scalable, and secure data architectures to support mission-critical applications.
- Design data models, schemas, and storage solutions optimized for performance, scalability, and accessibility.
- Implement and optimize extract, transform, and load (ETL)/extract, load, transform (ELT) pipelines to ensure efficient data ingestion, transformation, and integration across distributed systems.
- Manage, mentor, and inspire a team of technical professionals, fostering a culture of technical excellence and collaboration.
- Provide technical guidance on data architecture, advanced data systems, and system optimization to ensure alignment with industry best practices.
- Conduct performance reviews, set team goals, and support career development for team members.
- Oversee the deployment of high-scale, mission-critical systems handling real-time and batch processing workloads.
- Leverage industry-leading platforms to design and scale system topologies, tuning components to meet performance and scalability requirements.
- Optimize data processing frameworks and databases for low latency, high throughput, and reliability.
- Act as the primary point of contact for stakeholders, translating business requirements into technical solutions with a focus on robust data architectures.
- Collaborate with cross-functional teams to align on system design, performance, and data architecture goals.
- Communicate project progress, risks, and performance metrics to senior leadership and clients.
- Design and implement data architectures that support scalability, fault tolerance, and high availability for Tier 1 applications.
- Optimize real-time and batch processing workloads for high-scale environments.
- Ensure data pipelines are optimized for performance, leveraging industry-leading platforms to automate and enhance topology scaling and component tuning.
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