Senior Data Architect

Responsibilities

• Define and execute enterprise data architecture strategy and standards for data lakes, warehouses, and streaming analytics
• Lead data modernization roadmaps for transitioning legacy systems to cloud-native AWS architectures
• Own AWS data platform architecture including Lakehouse and Data Mesh patterns
• Design scalable data ingestion pipelines and processing frameworks using Glue, EMR, and Step Functions
• Design and implement end-to-end ML platforms and MLOps frameworks using Amazon SageMaker
• Architect hybrid and multi-cloud solutions connecting AWS with Azure and on-premises systems
• Design data governance and security frameworks including encryption and fine-grained access control
• Build and mentor high-performing teams of data and ML engineers

Requirements

• 10+ years of experience in data architecture or data engineering
• 5+ years specifically in cloud-based data platforms with AWS emphasis
• Bachelor's or Master's degree in a quantitative discipline
• AWS Certified Data Analytics Specialty certification
• AWS Certified Machine Learning Specialty certification
• Azure Data Engineer Associate (DP-203) certification
• Deep expertise in AWS services (S3, Glue, Redshift, Athena, EMR, Kinesis, SageMaker)
• Expertise in data modeling and distributed processing (Apache Spark, Kafka, Flink)
• Hands-on experience with ETL/ELT pipelines using Python, PySpark, and SQL

About the Company

At ZainTECH, we take pride in a culture built on collaboration, innovation, and uncompromising integrity, committed to customer-centricity and ethical excellence.