Lead AWS Data Platform Architect

HireOn

Lahore

Hybrid

PKR 3,500,000 - 9,000,000

Full time

14 days+

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Job summary

HireOn is seeking a Principal AWS Data Architect to drive the data platform strategy across enterprise cloud environments. You will own data platform architecture, guide implementations, and ensure governance, security, and performance align with business goals.

The role requires 12+ years of experience, a strong AWS data stack portfolio, and hands-on design of large-scale pipelines. This hybrid position in Lahore/Karachi/Islamabad offers a path to leadership and modern cloud data modernization.

Qualifications

12+ years of experience in data engineering, data architecture, or large-scale data platform development.
Strong portfolio of enterprise data solutions built on AWS.
Practical experience designing complex data pipelines and distributed processing workflows.
Ability to make architecture decisions across storage, processing, integration, governance, and security.
Experience improving data platform performance, scalability, reliability, and operating costs.

Responsibilities

Develop enterprise data platform blueprints and define architecture patterns for scalable AWS-based data environments.
Design robust data ingestion, transformation, integration, and processing workflows for high-volume datasets.
Build and optimize ETL/ELT solutions using AWS Glue, Amazon EMR, and AWS Lambda.
Develop orchestrated data workflows using MWAA (Apache Airflow).
Architect data lake and warehouse solutions using S3 and Redshift with appropriate patterns for analytics.
Model relational, dimensional, and NoSQL schemas including DynamoDB.
Implement metadata management, data cataloging, discovery, and governance with Glue Data Catalog and DataZone.
Define access policies, encryption standards, and secure data handling across cloud data environments.
Establish monitoring, logging, and operational visibility using CloudWatch.
Identify bottlenecks, optimize processing workloads, and manage AWS costs to improve efficiency.
Provide technical leadership, mentor data engineering teams, and guide architecture decisions with business goals.
Lead platform transformation, cloud modernization, and architecture improvements as business needs evolve.