Cloud Solution Architect

Delta System & Software, Inc.; Peoria (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

Delta System & Software, Inc. is seeking a Senior Data Architect to design and deliver enterprise data platforms across AWS and Snowflake, aligning data governance and security with business needs.

The role leads onshore and offshore teams, drives AI-enabled productivity, and presents technical plans and business value to executive stakeholders with clear communication. Strong scripting in Python and experience with data pipelines are essential.

Qualifications

• 15+ years of proven experience in data engineering, data warehousing, or enterprise architecture roles.
• Experience designing and delivering enterprise data platforms across AWS and Snowflake.
• Ability to lead onshore and offshore teams and present to executives.

Responsibilities

• Design secure, scalable data solutions on AWS and Snowflake.
• Lead onshore and offshore teams to build end-to-end data platforms.
• Drive AI-enabled productivity and develop AI solutions.
• Present technical plans and business value to executive stakeholders.

Skills

Data architecture

Leadership

Executive readouts

Communication

Tools

AWS

Snowflake

Python

GitHub Actions

Terraform

SageMaker

Job description

• 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.)
• Design Architecties: 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.