Data Architect AWS

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

Nice to Have

• AWS Certified Solutions Architect – Professional
• AWS Data Analytics Specialty Certification
• Experience with streaming technologies (Kinesis, Kafka)
• Exposure to multi-cloud or hybrid architectures
• Experience leading enterprise data transformation programs