Sr. Data Architect

Application deadline 10th July 2025

Position Title:  Sr. Data Architect

Reporting to: Director Automation Hub

Job Group: 4

Location: Islamabad

Division: Telenor Shared Services

Department: Automation Hub

Unit: Finance and Procurement Services

Why you should join Telenor Shared Services Pakistan

At Telenor Shared Services Pakistan, we give you the opportunity to become a skilled professional in your field. We can help you to realize your dreams in an environment of diversity, inclusivity, and openness. 

About Telenor Shared Services Pakistan

Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance & Accounting and IT building on cutting edge data and AI technologies. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.

Position Related

We are looking for a highly experienced and visionary Data Architect to help in the design, development, and optimization of enterprise-wide data architecture solutions. You will play a critical role in building scalable, secure, and high-performance data systems that empower innovation and business growth across Telenor Shared Services.

Goals

Implement required data architecture for larger Data platform to support decision-making and innovation

Establish a unified data vision across departments and systems

Promote data-driven culture by enabling access to high-quality, trusted data

Your Typical day at work

• Lead the end-to-end design of data architecture across diverse platforms and business domains to build data products with focus on Data Mesh Architecture
• Develop enterprise data models, data flow diagrams, and conceptual/logical/physical data designs.
• Architect and implement data integration, transformation, and migration solutions.
• Collaborate with engineering, analytics, and business teams to define and implement strategic data roadmaps.
• Ensure security, compliance, and governance across all data assets.
• Drive adoption of modern data platforms including cloud data warehouses, lakes, and real-time processing systems.
• Provide architectural guidance for data lake, data warehouse, and MDM implementations.
• Maintain documentation of data architecture, standards, and best practices.

Note: Above goals and job descriptions are indicative and subject to change

Eligibility Criteria

Experience and Qualification:

• Master’s degree in Data Science, Data Engineering, Computer Science, or a related field.
• 10+ years of experience in data architecture, data engineering, or enterprise data solutions.
• Proven hands-on experience with all major cloud platforms (AWS, Azure, GCP, Oracle).
• Strong understanding of data modeling, ETL/ELT, big data technologies, and real-time processing.
• Deep familiarity with modern tools like Snowflake, Databricks, Apache Spark, Kafka, etc.
• Strong knowledge of data security, privacy, and governance frameworks.

Functional Skills / Knowledge Areas

• Certifications in AWS, Azure, or Google Cloud data tracks are a strong plus.
• Experience in telco, finance, or large-scale enterprise environments.
• Leadership in cloud migration or greenfield data platform initiatives.

Potential Career Path

• Evolving into Enterprise Data Architect
• Opportunities in cloud / Security architecture etc;.