Senior Big Data Architect - Lead Real-Time Data Platform

Systems Limited; Punjab; On-site; PKR 33,296,000 - 49,945,000; Full time

Job summary

Systems Limited seeks an experienced Big Data expert to lead the design, development, and maintenance of the enterprise Big Data platform. You will collaborate with data engineers and BI analysts across multiple layers, delivering high-quality products with a focus on robust design and collaboration.

You will guide a team of Data Engineers and BI Developers, own streaming pipelines using Spark Streaming and Kafka, and ensure production-readiness, security, and compliance while mentoring growth

Qualifications

• 14 years of experience in enterprise data architecture, integration, and analytics.

Responsibilities

• Facilitate and lead roadmap and enhancements for the enterprise Big Data platform.
• Lead Data Engineers, BI Analysts, and BI engineers to architect and deliver solutions for business information needs.
• Ensure design, code, and procedures are production-ready with security and compliance standards.
• Participate in daily project and production delivery status meetings and provide technical support.
• Mentor and train future big data developers and architects.
• Design and implement scalable, near real-time data ingestion pipelines for low-latency processing.
• Architect and optimize data streaming solutions for high-throughput, distributed systems with data consistency and fault tolerance.

Skills

Leadership

Team management

Collaborative problem solving

Mentoring

Education

Bachelor's degree in CS or related field

Master's degree preferred

Tools

Apache Spark Streaming

Apache Kafka

Azure

ETL tools

NoSQL/SQL data modeling

Job description

Systems Limited seeks an experienced Big Data expert to lead the design, development, and maintenance of the enterprise Big Data platform. You will collaborate with data engineers and BI analysts across multiple layers, delivering high-quality products with a focus on robust design and collaboration.

You will guide a team of Data Engineers and BI Developers, own streaming pipelines using Spark Streaming and Kafka, and ensure production-readiness, security, and compliance while mentoring growth