Sr. Solution Architect

Job #JOB-01348
๐Ÿ“ Peoria, IL๐Ÿ’ผ CONTRACTOR C2C
AWSSnowflakePySparkPandasNumPyBuilding optimizedGitGitHub ActionsGitLab CIInfrastructure as Code (Terraform or CloudFormation)LLM integrationMLOps pipelinesSageMakerRBAC
๐‰๐จ๐› ๐“๐ข๐ญ๐ฅ๐ž: ๐’๐ซ. ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ ๐‹๐จ๐œ๐š๐ญ๐ข๐จ๐ง: ๐๐ž๐จ๐ซ๐ข๐š, ๐ˆ๐‹ - 5 ๐ƒ๐š๐ฒ๐ฌ/๐ฐ๐ž๐ž๐ค (๐๐Ž๐ - ๐๐„๐†๐Ž๐“๐ˆ๐€๐๐‹๐„) ๐•๐ข๐ฌ๐š: ๐„๐€๐ƒ'๐ฌ, ๐†๐‚, ๐”๐’๐‚, ๐“๐, ๐‹2 ๐ƒ๐ฎ๐ซ๐š๐ญ๐ข๐จ๐ง: 2 ๐˜๐‘๐’ ๐‡๐ž๐š๐ฏ๐ฒ ๐ฌ๐ง๐จ๐ฐ๐Ÿ๐ฅ๐š๐ค๐ž ๐š๐ง๐ ๐€๐–๐’ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž ๐Œ๐”๐’๐“ ๐Š๐ž๐ฒ ๐‚๐š๐ฉ๐š๐›๐ข๐ฅ๐ข๐ญ๐ข๐ž๐ฌ: โ€ข 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.) โ€ข Manufacturing domain experience โ€ข Design Architectures: Build secure, scalable data solutions on AWS and Snowflake โ€ข Lead Teams: Lead Onshore & Offshore teams to create the solution โ€ข Drive Innovation: Apply AI awareness to increase productivity and develop AI solutions. โ€ข Lead Readouts: Ability to present technical plans and business value to executive stakeholders clearly. โ€ข Communication: Exceptional verbal and written communication skills for high-level leadership readouts ๐ƒ๐ž๐ญ๐š๐ข๐ฅ๐ž๐ ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐’๐ค๐ข๐ฅ๐ฅ๐ฌ: โ€ข Cloud Infrastructure (AWS): Deep expertise in IAM, VPC networking, CloudWatch, S3, IAM, Lambda, Glue, and EMR. โ€ข Data Warehousing (Snowflake): Mastery of Snowpipe, streams, tasks, dynamic tables, data sharing, and storage optimization. โ€ข Development & Scripting (Python): Advanced skills in PySpark, Pandas, NumPy, and building optimized, object-oriented data frameworks. โ€ข DevOps & CI/CD: Hands-on experience with Git, GitHub Actions, GitLab CI, and Infrastructure as Code (Terraform or CloudFormation). โ€ข AI & Machine Learning Awareness: Awareness of vector databases, LLM integration, prompt engineering, and MLOps pipelines (e.g., SageMaker). โ€ข Data Governance & Security: Proven ability to implement role-based access control (RBAC), data masking, and encryption at rest/in transit. ๐‘๐ž๐ช๐ฎ๐ข๐ซ๐ž๐ ๐๐ฎ๐š๐ฅ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ: โ€ข Experience: 15+ years of proven experience in data engineering, data warehousing, or enterprise architecture roles.

Posted 11/3/2026 ยท Open until 12/4/2026

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