Senior Advanced Data Systems Delivery Lead

4 days ago

Aurangabad, Maharashtra, India beBeeData Full time US$ 1,00,000 - US$ 1,50,000
Advanced Data Systems Delivery Lead

This role requires a technical expert with extensive experience in delivering high-scale, mission-critical systems handling real-time and batch processing workloads.

Key Responsibilities:
  1. Lead the end-to-end delivery of advanced data systems for mission-critical Tier 1 applications, focusing on revenue management and other high-impact use cases.
  2. Ensure solutions meet NFRs (e.g., scalability, performance, availability, security) and SLAs, delivering on time, within scope, and budget.
  3. Utilize the ArcOne AI platform to design, scale, and tune system topologies to support complex real-time and batch workloads.
Data Architecture Leadership:
  1. Architect and oversee the implementation of robust, scalable, and secure data architectures to support mission-critical applications.
  2. Design data models, schemas, and storage solutions (e.g., data lakes, data warehouses, NoSQL databases) optimized for performance, scalability, and accessibility.
  3. Implement and optimize ETL/ELT pipelines, ensuring efficient data ingestion, transformation, and integration across distributed systems.
Team Management:
  1. Manage, mentor, and inspire a team of data engineers, architects, and performance engineers, fostering a culture of technical excellence and collaboration.
  2. Provide technical guidance on data architecture, advanced data systems, and system optimization, ensuring alignment with industry best practices.
Technical Expertise:
  1. Oversight of high-scale, mission-critical systems handling real-time (e.g., streaming, event-driven) and batch processing workloads.
  2. Leverage the ArcOne AI platform to design and scale system topologies, tuning components (e.g., compute, storage, network) to meet performance and scalability requirements.
Stakeholder Collaboration:
  1. Act as the primary point of contact for stakeholders, translating business requirements into technical solutions with a focus on robust data architectures.
  2. Collaborate with infrastructure, platform, AI, and product teams to align on system design, performance, and data architecture goals.

This position is ideal for an experienced professional with a strong background in data architecture, engineering, and leadership.

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