AWS Data Architect

Overall 14+ years of experience, including 5 to 7+ years in AWS Data Architecture.

Core AWS Expertise

Deep experience with:

S3 (data lake design)

AWS Glue (ETL, catalog)

Amazon Redshift (data warehouse design & optimization)

Lambda, Step Functions (orchestration)

IAM, Lake Formation (security)

Data Engineering & Processing

Strong hands-on experience with:

PySpark / Spark (EMR or Glue)

SQL (advanced level)

Python for data pipelines

Experience with streaming (Kinesis / Kafka) is a plus

Data Architecture

Expertise in:

Data lake / lakehouse architectures

Data modeling (dimensional + normalized)

Metadata and cataloging strategies

Handling large-scale, distributed data systems

Modern Data Stack (Preferred)

dbt, Airflow, Snowflake (optional but valuable)

BI tools (QuickSight, Tableau, Power BI)

API-based ingestion and microservices-based data flows

Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)

SQL & Data Modeling

AWS Analytics Stack

Dashboard Design

AI Agent Design & Configuration

Workflow Automation & Business Process Optimization

AWS Certifications (Solutions Architect, Data Analytics Specialty)

Experience with data governance frameworks / regulatory compliance

Background in large enterprise transformations

Education

Bachelor s degree in Computer Science, Engineering, Information Systems, or equivalent experience