Solution Architect

Staffingine LLC

Illinois

On-site

USD 136,000 - 194,000

Full time

13 days ago

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Job summary

Staffingine LLC in Peoria, IL is seeking a Sr. Solution Architect to design and deliver enterprise data platforms, focusing on secure, scalable solutions on AWS and Snowflake, and to guide cross-functional teams.

The role requires 15+ years of experience in data engineering, warehousing or enterprise architecture; you will lead onshore and offshore teams, drive AI-enabled innovation, and present readouts to executives.

Qualifications

  • 15+ years of experience in data engineering, data warehousing, or enterprise architecture.

Responsibilities

  • Design secure, scalable data solutions on AWS and Snowflake.
  • Lead onshore and offshore teams to create the solution.
  • Present technical plans and business value to executive stakeholders clearly.
  • Drive AI awareness to increase productivity and develop AI solutions.

Skills

Enterprise data platforms
Manufacturing domain
AWS architecture
Snowflake
Leadership
AI awareness
RBAC & security

Tools

AWS
Snowflake
Python
GitHub Actions
Terraform
CloudFormation
SageMaker

Job description

Title- Sr. Solution Architect

Location: Peoria, IL - 5 Days/week (NON - NEGOTIABLE)

Pay rate - $120/hr.

Key Capabilities
  • Experience with designing & delivering Enterprise data Platforms and awareness of all the areas of the data ecosystem (Data Management, Integrations (Streaming/Batch), Visualizations, Analytical Platforms etc.)
  • Manufacturing domain experience
  • Design Architectures: Build secure, scalable data solutions on AWS and Snowflake
  • Lead Teams: Lead Onshore & Offshore teams to create the solution
  • Drive Innovation: Apply AI awareness to increase productivity and develop AI solutions.
  • Lead Readouts: Ability to present technical plans and business value to executive stakeholders clearly.
  • Communication: Exceptional verbal and written communication skills for high-level leadership readouts.
Detailed Technical Skills
  • Cloud Infrastructure (AWS): Deep expertise in IAM, VPC networking, CloudWatch, S3, IAM, Lambda, Glue, and EMR.
  • Data Warehousing (Snowflake): Mastery of Snowpipe, streams, tasks, dynamic tables, data sharing, and storage optimization.
  • Development & Scripting (Python): Advanced skills in PySpark, Pandas, NumPy, and building optimized, object-oriented data frameworks.
  • DevOps & CI/CD: Hands-on experience with Git, GitHub Actions, GitLab CI, and Infrastructure as Code (Terraform or CloudFormation).
  • AI & Machine Learning Awareness: Awareness of vector databases, LLM integration, prompt engineering, and MLOps pipelines (e.g., SageMaker).
  • Data Governance & Security: Proven ability to implement role-based access control (RBAC), data masking, and encryption at rest/in transit.
Required Qualifications

Experience: 15+ years of proven experience in data engineering, data warehousing, or enterprise architecture roles

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