Senior Data Solutions Architect (AWS & Snowflake)

Overview

On Site
$70+
Contract - W2

Skills

Cloud Computing
Analytics
Apache Spark
Application Development
Capacity Management
Amazon EC2
Amazon Redshift
Amazon S3
Amazon SQS
Amazon Web Services
Extract
Transform
Load
Information Systems
Mentorship
Optimization
Documentation
ELT
Enterprise Architecture
Environment Management
FOCUS
Data Integration
Data Modeling
Data Processing
Data Warehouse
Database Design
Collaboration
Communication
Data Architecture
Data Engineering
Data Governance
Python
Reporting
SQL
Snow Flake Schema
Strategic Planning

Job Details

Job Title: Senior Data Solutions Architect (AWS & Snowflake)
Work Location : Erie PA. (Day 1 Onsite )

Must Travel once a month 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 Solution Architect 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, SNS, SQS, EC2, Glue, Athena, Lambda, etc .) and Snowflake.
  • Strong understanding of data Modeling (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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.