Data Architect – AWS
Hybrid · Islamabad, Islamabad, Pakistan or Lahore, Punjab, Pakistan
Job Summary
Data Architect – AWS role focused on defining and leading enterprise data architecture strategy on AWS. Responsibilities include architecting scalable batch and real-time data platforms, designing modern data lake/warehouse/lakehouse architectures, defining ETL/ELT architectures with AWS Glue, EMR, Lambda, and Airflow, implementing governance, data modeling standards (Dimensional, Data Vault), and security frameworks, and mentoring data engineers while partnering with business and executive stakeholders to align data architecture with organizational goals. Requires deep expertise in AWS data services (Glue, EMR, Lambda, Airflow, Redshift, S3, DynamoDB, DataZone, CloudWatch), strong data modeling capabilities, and experience guiding enterprise data transformation programs in Agile/SAFe environments.
Required Qualifications
- 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
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