Job Description
ROLE: AWS DATA ARCHITECT OVERALL 15+ YRS EXP
\n
LOCATION: HYBRID – CLINTON, NJ – 3 DAYS IN A WEEK FROM OFFICE
\n
EMPLOYMENT TYPE: CONTRACT
\n
DURATION: 6+ MONTHS
\n
ANY VISA FINE SHOULD BE GENUINE
\n
\n
Minimum 15+ years of overall experience - must
\n
At least 6 years of hands-on AWS Data Architecture experience - must
\n
Minimum 9 years of Data Engineering experience - must
\n
Excellent communication skills - CTO level interactions
\n
AWS Data Architect with 5–7+ years of AWS Data Architecture experience. Must be strong in AWS data design and hands-on development.
\n
Design and manage the company’s large-scale data platform on AWS cloud. The candidate must handle both architecture and hands-on development.
\n
📋 Daily Responsibilities
\n
- \n
- Design & develop AWS data platforms 🏗️
- Build data pipelines 🔄
- Manage data storage & processing ☁️
- Handle data security & governance 🔐
- Build QuickSight dashboards/reporting 📊
- Improve performance & reduce cost
- Guide Data Engineers 👥
- Migrate legacy data systems to AWS
\n
\n
\n
\n
\n
\n
\n
\n
\n
✅ Must-have Skills
\n
- \n
- AWS Data Architecture – 5–7+ years
- 12+ years overall experience
- AWS S3, Glue, Redshift, Lambda, Step Functions
- PySpark / Spark
- Advanced SQL
- Python
- Data Lake / Lakehouse
- IAM / Lake Formation
- QuickSight
- Data Modeling & Governance
- Architecture Leadership experience
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Should the resume be shortlisted
\n
The resume should clearly show 15+ years overall + 5–7+ years of AWS Data Architecture + AWS tools + PySpark + SQL + Python + QuickSight with relevant project experience.
\n
candidate will be selected
\n
A candidate who can design AWS data architecture, do hands-on development/data engineering, and lead the team.