About The Role

Job Title: Data Architect – AWS

Experience

12+ Years

Location

Hybrid – Lahore, Karachi, Islamabad

Employment Type

Full-Time

Position Overview

We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.

Key Responsibilities

Define and own enterprise-wide data architecture strategy and roadmap
Architect scalable, secure, high-performance batch and real-time data platforms on AWS
Design modern data lake, data warehouse, and lakehouse architectures
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks
Architect data warehousing solutions using Amazon Redshift
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone
Lead architecture governance forums and conduct design reviews
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization
Define security architecture aligned with enterprise compliance standards
Provide technical leadership and mentorship to Data Engineers and Technical Leads
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals
Drive innovation and evaluation of emerging data technologies

Required Skills & Experience

12+ years of experience in Data Engineering / Data Architecture
Extensive experience designing enterprise-scale data platforms on AWS

Strong expertise in

AWS Glue

Amazon EMR (Spark)

AWS Lambda

Apache Airflow (MWAA)

Amazon Redshift

Amazon S3

Amazon DynamoDB

AWS DataZone

Amazon CloudWatch

Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems
Strong knowledge of data governance, metadata management, and data security frameworks
Advanced SQL and strong Python expertise
Experience defining architecture principles, standards, and enterprise roadmaps
Strong stakeholder management and cross-functional leadership skills
Experience leading large data engineering teams
Experience working in Agile / SAFe delivery models