W2 15+ Data Architect

Peoria, IL, US • Posted 1 day ago • Updated 1 day ago
Contract W2
6 Months
Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Object-Oriented Programming
  • GitHub
  • GitLab
  • Innovation
  • Leadership
  • Machine Learning (ML)
  • Electronic Health Record (EHR)
  • Enterprise Architecture
  • Git
  • Machine Learning Operations (ML Ops)
  • Data Masking
  • Data Warehouse
  • DevOps
  • Encryption
  • Continuous Integration
  • Data Engineering
  • Data Governance
  • Data Management
  • Artificial Intelligence
  • Communication
  • Computer Networking
  • Storage
  • PySpark
  • Python
  • RBAC
  • Scripting
  • Snow Flake Schema
  • Streaming
  • Offshoring
  • Optimization
  • Productivity
  • Prompt Engineering
  • Terraform
  • Continuous Delivery
  • Experience Design
  • Manufacturing
  • NumPy
  • Pandas
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Access Control
  • Analytical Skill
  • Vector Databases
  • Virtual Private Cloud

Summary

Senior Solution Architect

Location:- Peoria, IL(Onsite from day 1)

 

This is day1 onsite in Peoria, IL

 

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.
 
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.
  • Dice Id: 91126058
  • Position Id: 9071091
  • Posted 1 day ago
Contact the job poster
Anusha Chenna

Anusha Chenna

Recruiter @ Prohires
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