AWS Data Architect
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Jul 28, 2026.
Role Overview:
We are looking for a highly experienced Senior Data Architect to lead enterprise data and analytics strategy on AWS. This role will design and deliver scalable data platforms, data pipelines, and ML systems, while driving multi-cloud data architecture, governance, and technical leadership across teams.
Key Responsibilities
Define & lead enterprise data architecture and cloud data strategy (AWS-focused).
Design scalable data lakes, lakehouse, DWH, streaming & analytics platforms.
Architect & optimize AWS-based ETL/ELT, ML, and real-time data pipelines.
Lead multi-cloud (AWS + Azure) and hybrid data integration initiatives.
Implement data governance, security, quality, metadata & lineage frameworks.
Mentor data engineering & data science teams; ensure architectural best practices.
Required Skills
10+ years in data architecture / engineering, 5+ years on cloud platforms (AWS).
Expertise with AWS data stack (S3, Glue, Redshift, Athena, EMR, Kinesis, Lake Formation).
Strong data modeling (dimensional, Data Vault, lakehouse).
Hands-on Python, PySpark, SQL & distributed systems (Spark, Kafka).
ML platform experience (SageMaker, MLOps, pipelines & deployment).
Multi-cloud experience (AWS + Azure) with data migration & modernization.
Certifications
AWS Certified Data Analytics Specialty
AWS Certified Machine Learning Specialty
Azure Data Engineer Associate (DP-203)
Nice to Have
Additional AWS certifications (SA Pro / DevOps Pro)
Azure DP-100, Databricks, Terraform / CloudFormation experience
Experience with data mesh, data fabric, governance platforms (Alation/Collibra)