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Data On Cloud - Platform | AWS

Dimension ConsultingJohnston, RI🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This hybrid Technology Lead role offers a fantastic opportunity to architect and implement cutting-edge data solutions on AWS with Snowflake, driving significant impact through your expertise in data modeling and cloud migration. You'll thrive here if you have a strong background in data engineering and a passion for leading complex projects and mentoring development teams. Embrace this chance to advance your career in a dynamic environment with excellent growth prospects.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Johnston, RI, United States
Posted
1 week ago
AWSETLSnowflakePythonVault

Job Description

Job Title: Technology Lead | Data On Cloud - Platform | AWS
Work Location: Johnston RI 02919
Contract duration: 6


Must Have Skills:
Snowflake
Developer
Data on Cloud

Nice to have skills:
Snowflake
Developer

Detailed Job Description
Design and architect scalable, secure, and high-performance data solutions on Snowflake.
Lead migration of legacy data warehouses and ETL platforms to Snowflake.
Define data modeling standards including Star Schema, Snowflake Schema, Data Vault, and Kimball methodologies.
Design and implement data ingestion frameworks using batch and real-time processing.
Optimize Snowflake performance, storage, compute costs, and query execution.
Establish security, governance, masking, RBAC, and data-sharing strategies.
Collaborate with business stakeholders, data engineers, and analysts to translate requirements into technical solutions.
Drive best practices for CI/CD, DevOps, monitoring, and automation within the data platform.
Provide technical leadership, mentoring, and architectural guidance to development teams.
Conduct architecture reviews and ensure adherence to enterprise standards.

Minimum years of experience
8-10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute
Take ownership of complex data engineering initiatives from conception through production deployment.
Develop and implement high performance ETL frameworks using Snowflake and Python,
Establish patterns and standards that other developers can follow while ensuring scalability, reliability, and maintainability

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