Job Description

Eligibility:

Qualification:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or related field.
Qualification in Islamic Finance is an added advantage.

Experience:

10+ years in data engineering, data warehousing, or analytics.
Minimum 3 years in a leadership role within a regulated environment (banking/financial services).

Skills Required:

Design & implement enterprise data engineering and ETL solutions (DataStage, Informatica, ODI).
Build & operate modern data warehouse/lake-house platforms (Teradata, DB2 Warehouse) with big data technologies (Spark, Hadoop, Kafka, Flink).
Develop scalable data models (3NF & Star), proficient in SQL, Shell scripting, Python/Scala, CI/CD pipelines, automation, monitoring, and orchestration of data workflows.
Ensure data governance, security, regulatory compliance, platform reliability, monitoring, SLAs, and disaster recovery.

Responsibilities:

Define & own enterprise data architecture strategy aligned with business objectives, regulatory requirements (SBP, FATF), and analytics/AI initiatives.
Lead data platform engineering & operations, establish ETL and integration standards, manage scalable on-premise platforms for BI and advanced analytics.
Enable data quality, governance, lineage, and metadata management, operationalize validation frameworks.
Drive performance optimization, reliability, automation, monitoring, SLA management, failover, backup, and disaster recovery.
Build & mentor high-performing teams; foster cross-functional collaboration across digital banking, risk, compliance, finance, and business stakeholders.
Adopt modern data architectures and emerging technologies.

Department: Data & AI Unit – Finance Department

Location: Head Office – Karachi

Last Date to Apply: February 19th, 2026