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