Lead Big Data Architect: Real-Time Pipelines & Travel

iSystems Ltd; Punjab; On-site; PKR 1,000,000 - 2,500,000; Full time

Benefits offered by this job

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Job summary

iSystems Ltd in Pakistan seeks an experienced Big Data expert to lead our platform's design, development, and maintenance, collaborating with data engineers and BI professionals across platform layers to deliver high-quality data products.

The role requires 10–14 years in enterprise data architecture, hands-on Spark Streaming and Kafka, plus Azure Databricks, Synapse, and Power BI, with a willingness to travel to the UK (about 25%).

Qualifications

• 10–14 years of enterprise data architecture, integration, and analytics experience.
• Experience architecting streaming pipelines, leading data engineers and BI developers.
• Bachelor’s degree in CS or related field; Master’s preferred.
• Strong cloud/Big Data stack knowledge including Azure and related tools.
• Awareness of data mgmt best practices and ML is a plus.

Responsibilities

• Facilitate and lead roadmap and enhancements for the enterprise Big Data platform.
• Lead Data Engineers, BI Developers, and analysts to deliver solutions meeting business needs.
• Ensure designs and code are production-ready with security and compliance in mind.
• Participate in daily project and production status meetings; 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 analytics.
• Architect and optimize streaming solutions for high throughput with data consistency and fault tolerance.

Skills

Big data architecture

Streaming pipelines

Team leadership

Azure cloud

Education

Bachelor's degree in computer science or related field

Master's degree preferred

Tools

Apache Spark Streaming

Apache Kafka

Databricks

Azure Data Factory

Azure Synapse

Power BI

Job description

iSystems Ltd in Pakistan seeks an experienced Big Data expert to lead our platform's design, development, and maintenance, collaborating with data engineers and BI professionals across platform layers to deliver high-quality data products.

The role requires 10–14 years in enterprise data architecture, hands-on Spark Streaming and Kafka, plus Azure Databricks, Synapse, and Power BI, with a willingness to travel to the UK (about 25%).