AWS Data Architect (15+ Years Expereicne) -- (Only Local to NY/NJ)

Ideal Candidate Profile

Overall 15+ years of experience, including 7+ years in AWS Data Architecture.

Core AWS Expertise

•     Deep experience with:

o     S3 (data lake design)

o     AWS Glue (ETL, catalog)

o     Amazon Redshift (data warehouse design & optimization)

o     Lambda, Step Functions (orchestration)

o     IAM, Lake Formation (security)

Data Engineering & Processing

•     Strong hands-on experience with:

o     PySpark / Spark (EMR or Glue)

o     SQL (advanced level)

o     Python for data pipelines

•     Experience with streaming (Kinesis / Kafka) is a plus

Data Architecture

•     Expertise in:

o     Data lake / lakehouse architectures

o     Data modeling (dimensional + normalized)

o     Metadata and cataloging strategies

o     Handling large-scale, distributed data systems

Modern Data Stack (Preferred)

•     Exposure to:

o     dbt, Airflow, Snowflake (optional but valuable)

o     BI tools (QuickSight, Tableau, Power BI)

o     API-based ingestion and microservices-based data flows

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

o     SQL & Data Modeling

o     AWS Analytics Stack

o     Dashboard Design

o     AI Agent Design & Configuration

o     Workflow Automation & Business Process Optimization

Soft Skills

•     Strong ownership mindset and ability to drive architecture end-to-end

•     Excellent communication with both technical and business stakeholders

•     Ability to work in fast-paced, ambiguous environments

•     Proven leadership and mentoring experience

Nice-to-Have

•     AWS Certifications (Solutions Architect, Data Analytics Specialty)

•     Experience with data governance frameworks / regulatory compliance

•     Background in large enterprise transformations