Senior Data Solutions Architect (AWS & Snowflake)

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Data Architecture
ELT
Snow Flake Schema
Amazon Web Services
Analytics
Data Warehouse
infrastructure
SQL
Extract
Transform
Load
Amazon S3
Redshift

Job Details

Job Title: Senior Data Solutions Architect (AWS & Snowflake)
Work Location: (Once a month travel is required to Lincoln, RI)

Duration : Long Term

Role Overview

We are seeking a highly skilled Senior Data Architect to support enterprise data initiatives and serve as a key technical partner to the architecture team. This role will work closely with Information Systems Officer / Enterprise Architect, and drive data architecture decisions, perform solution reviews, and guide the design and implementation of scalable, cloud-based data platforms.

The ideal candidate will have deep expertise in Data warehousing, SQL, cloud data architecture (AWS and Snowflake), and a strong ability to balance hands-on engineering with high-level architectural thinking.

Key Responsibilities

  • Act as a technical right hand to the Enterprise Architect, supporting architecture reviews, design decisions, and strategic planning.
  • Design and implement scalable data warehouse and analytics solutions on AWS and Snowflake.
  • Develop and optimize SQL, ETL/ELT pipelines, and data models to support reporting and analytics.
  • Collaborate with cross-functional teams (data engineering, application development, infrastructure) to align on architecture best practices and ensure consistency across solutions.
  • Evaluate and recommend technologies, tools, and frameworks to improve data processing efficiency and reliability.
  • Provide guidance and mentorship to data engineering teams, enforcing data governance, quality, and security standards.
  • Troubleshoot complex data and performance issues and propose long-term architectural solutions.
  • Support capacity planning, cost optimization, and environment management within AWS/Snowflake ecosystems.

Required Skills and Experience

  • 15+ years of experience in data engineering and architecture, with a strong focus on data warehouse design and optimization.
  • Expert-level proficiency in SQL and relational database design.
  • Hands-on experience with AWS cloud services (Redshift, S3, Glue, Lambda, etc.) and Snowflake.
  • Strong understanding of Data Modelling (star/snowflake schemas), ETL/ELT frameworks, and best practices for data integration.
  • Experience in designing data pipelines using Python, Spark, or similar technologies is a plus.
  • Excellent communication and documentation skills able to translate technical concepts for business and technical audiences.
  • Ability to operate independently, make architectural decisions, and act as a trusted advisor on technology direction.
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