AWS Data Architect

Pyramid Technology Solutions

Raritan, NJ, United States

9 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Airflow Amazon Web Services Amazon S3 Data Analysis Information Systems Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Distributed Data Store Identity and Access Management

+20 more

Python (Programming Language) Metadata Power BI SQL Databases Data Streaming Tableau (Software) Snowflake Apache Spark Data Lakes Pyspark Information Technology AWS Glue Data Analytics AWS Data Analytics Apache Kafka Virtual Agents Api Design Pyramid Amazon Redshift Microservices

Requirements

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

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