> Markdown version of [/jobs/ext/3985794-aws-data-architect](https://www.wearedevelopers.com/jobs/ext/3985794-aws-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AWS Data Architect

- **Company:** KONNECTINGTREE INC
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Apache Hadoop, Identity and Access Management, Python (Programming Language), SQL Databases, Data Streaming, Tableau (Software), Real Time Systems, Sql Optimization, Snowflake, State Machines, Data Lakes, Pyspark, Information Technology, AWS Glue, Data Analytics, AWS Data Analytics, Apache Kafka, Data Management, Data Pipelines, Legacy Systems
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/516b0dcf-601c-49fe-b5eb-b145b3b956d1

## About the Role

* 15+ years of overall IT experience
 * 6+ years of hands-on AWS Data Architecture experience
 * 9+ years of Data Engineering experience
 * Strong expertise in S3, Glue, Redshift, EMR, Lambda and Step Functions
 * Advanced SQL, PySpark and Python skills
 * Strong knowledge of data lake / lakehouse architecture and data modeling
 * Excellent communication skills with proven CTO-level interaction

Nice to Have

 * Experience with Amazon QuickSight / Quick Suite
 * Streaming experience (Kinesis / Kafka)
 * dbt, Airflow, Snowflake
 * AWS certifications (Solutions Architect, Data Analytics Specialty), Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.

## Description

We are looking for a senior, hands-on AWS Data Architect to design, build, and govern enterprise-scale data platforms on AWS. This is a player-coach role: you will define the architecture, contribute to development, mentor engineers, and interact directly with CTO-level stakeholders., * Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption)

 * Design scalable, secure lakehouse and modern data stack solutions for batch and real-time processing
 * Build and optimize ETL/ELT pipelines using AWS Glue, EMR, Lambda, Step Functions, PySpark, SQL and Python
 * Implement data governance, cataloging, lineage and security (IAM, Lake Formation, row-level security)
 * Optimize pipeline performance and cost, and improve Redshift and S3 query performance
 * Lead migrations of legacy platforms (on-prem, Hadoop, Tableau) to AWS
 * Build dashboards, reusable templates and AI-powered reporting in Amazon QuickSight / Quick Suite
 * Lead design reviews and mentor data engineers