Senior Data & AI Architect: Scalable AI Pipelines

SPR Inc.; Chicago (IL); Hybrid; USD 150,000 - 185,000; Full time

Benefits offered by this job

Vacation time

Sick leave

Holidays

Parental leave

401(k) match

Health/dental/vision insurance

Well-being stipend

Calm app subscription

Job summary

SPR is seeking an AI Data Architect to join our Chicago-based practice as a senior technical leader. This hands-on role owns data and AI architecture decisions, leads small engineering teams, and translates complex client needs into scalable, production-grade solutions across our portfolio.

You will design data layers feeding generative AI systems, enforce governance, build pipelines, and ensure reliable performance in production.

Qualifications

• Motivated, self-starter with ability to learn quickly.
• Experience with SQL and Python; R a plus.
• Architecting data analysis solutions at scale.
• Familiarity with data-intensive architecture patterns.
• Experience leading architecture decisions and mentoring teams.
• Excellent communication and collaboration skills.
• Hands-on, with Agile delivery experience.

Responsibilities

• Design and maintain sustainable data architecture.
• Lead data modeling and ETL/ELT processes.
• Architect large, complex data pipelines in production.
• Ensure data quality with audit controls and monitoring.
• Collaborate with stakeholders and translate requirements.
• Guide feature design and data governance.

Skills

SQL

Python

Agile Methodology

Data Architecture

Leadership

Communication

Education

Bachelor’s Degree in Data Science / Analytics / CS

Tools

Snowflake

Databricks

Azure OpenAI

AWS Bedrock

Vertex AI

Langfuse

Job description

SPR is seeking an AI Data Architect to join our Chicago-based practice as a senior technical leader. This hands-on role owns data and AI architecture decisions, leads small engineering teams, and translates complex client needs into scalable, production-grade solutions across our portfolio.

You will design data layers feeding generative AI systems, enforce governance, build pipelines, and ensure reliable performance in production.