Data Engineer Architect

Position Title: Data Engineer Architect
Department: Data & Technology
Employment Type: Full-Time
Location: On-site — Blue Area, Islamabad

Time: 9am-5pm (Uk-Time)

Position Overview

The Data Engineer Architect is responsible for designing robust, scalable, and efficient data architectures and pipelines to support enterprise-wide analytics, reporting, and machine learning initiatives. This role ensures seamless ingestion, transformation, governance, and availability of data across cloud environments. The architect will drive technical direction, security, and quality across all data systems while supporting migration from legacy infrastructures to modern cloud-based platforms.

Key Responsibilities

1. Data Architecture & Design

• Design scalable, secure, and future-ready enterprise data architectures.
• Build strong and flexible data models, ingestion frameworks, and transformation layers.
• Define schemas for various data types (transactional, structured, unstructured, CRM, web analytics).
• Create data environments that support both experimental (“Lab”) and production (“Factory”) analytics.
• Build structures enabling predictive, prescriptive analytics and ML/AI model training.
• Ensure architecture supports BI/reporting tools such as PowerBI.

2. Data Engineering & Pipeline Development

• Design and implement robust ETL/ELT data pipelines for diverse internal and external data sources.
• Develop high-performance batch and real-time data processing pipelines using Spark, Kafka, Databricks, or similar tools.
• Optimize pipelines for performance, efficiency, and cost-effectiveness.
• Support ingestion and migration of legacy data into Snowflake or other cloud warehouses.

3. Cloud & Infrastructure

• Architect cloud-based data engineering, BI, and data science solutions on Azure, AWS, or GCP.
• Build and maintain modern cloud data lakes and transformed data layers.
• Work with engineering teams to design complex cloud-based environments.
• Implement CI/CD pipelines and automation for data workflows.
• Lead migration of legacy physical infrastructures into cloud platforms.

4. Security, Governance & Monitoring

• Apply “quality by design” and “security by design” principles in all architectures.
• Ensure compliance with GDPR and company data governance frameworks.
• Implement data validation, monitoring, alerting, and telemetry systems (e.g., Sifflet).
• Maintain metadata, data lineage, documentation, and governance structures.
• Partner with governance teams to embed real-time alerting and monitoring.

5. Collaboration & Leadership

• Work closely with the Head of Data Engineering & Data Platform to align with enterprise strategy.
• Collaborate with product managers, data scientists, and analytics teams to translate business needs into actionable data solutions.
• Provide technical guidance, direction, and support to engineers and project teams.
• Communicate architectural decisions and technical recommendations clearly to stakeholders.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• 5+ years of experience in Data Engineering or Data Architecture.
• Proven experience architecting cloud-based data engineering, BI, and/or data science solutions.
• Experience migrating legacy data solutions into the cloud (refactoring, modernization).
• Strong experience with database technologies, data modeling, and schema design.
• Experience building data structures that support first- and third-party data analysis under GDPR guidelines.

Technical Skills

• Very strong SQL skills.
• Proficiency in Python and advanced data modeling.
• Experience with Snowflake, Azure Synapse, BigQuery, or Redshift.
• Hands-on experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend).
• Familiarity with Spark, Kafka, Databricks, Hadoop ecosystem.
• Experience with Docker, Kubernetes, Git, DevOps, and CI/CD workflows.
• Strong understanding of data warehousing methodologies (Kimball/Inmon).
• Knowledge of telemetry, monitoring, and alerting tools.

Preferred Skills

• Professional certifications (Azure Data Engineer, AWS Big Data, Google Data Engineer).
• Experience supporting AI/ML teams with high-quality training datasets.
• Experience with MLOps or ML pipeline automation.
• Strong analytical, architectural, and communication abilities.

Soft Skills

• Excellent communication and documentation skills.
• Strong problem-solving and critical thinking abilities.
• Leadership mindset with the ability to mentor junior engineers.
• Detail-oriented with focus on data quality, accuracy, and governance.

What We Offer

• Competitive salary and comprehensive benefits package.
• On-site working environment in Blue Area, Islamabad.
• Exposure to modern technology stacks and architectural frameworks.
• Opportunities for continuous learning, certifications, and career growth.

Job Type: Full-time

Pay: Rs400,000.00 - Rs600,000.00 per month

Work Location: In person