Senior Data Architect and Engineer
About The Position
TalentFish is hiring a Senior Data Architect and Engineer for a direct-hire, hybrid role in Chicago. This senior, hands-on position will define scalable architecture and deliver production data, analytics, machine learning, and AI solutions across manufacturing, supply chain, commercial, finance, and other business functions. The role combines architectural leadership with practical engineering work involving Python, SQL, pipelines, APIs, and applications. The position also requires periodic travel to operational locations as needed. The expected compensation is $165,000–$220,000, depending on experience and qualifications. The role requires authorization to work in the United States without current or future visa sponsorship. Offers are contingent on completion of a background check, which may include reference, education, and employment verification, drug testing, criminal records checks, and applicable certifications or compliance requirements.
Requirements
- Eight or more years of experience spanning data architecture, data engineering, machine learning engineering, software engineering, data science, or related disciplines.
- Strong hands-on Python and SQL skills, with demonstrated success designing and delivering production data or machine learning systems.
- Experience with enterprise data architecture, modern cloud data platforms, APIs, services, and integrations with business applications.
- Ability to lead complex technical initiatives, mentor technical professionals, and communicate effectively with technical teams and senior business stakeholders.
- Authorization to work in the U.S. without current or future visa sponsorship.
Nice To Haves
- Experience with Snowflake, dbt, FastAPI, Azure, Terraform, Databricks, MLOps, Generative AI, or manufacturing and operational data.
Responsibilities
- Design scalable architectures for enterprise data, analytics, machine learning, and AI while remaining hands-on with Python, SQL, pipelines, APIs, and applications.
- Build integrations across ERP, manufacturing, operational, commercial, finance, and other enterprise systems.
- Establish reusable engineering and MLOps patterns for CI/CD, testing, deployment, monitoring, observability, and AI-enabled business workflows.
- Set standards for data modeling, quality, security, governance, integration, and platform architecture.
- Evaluate technical choices for scalability, maintainability, cost, and business value.
- Partner with business and manufacturing teams.
- Mentor data professionals.
- Modernize legacy systems.
- Travel periodically to operational locations as needed.
Benefits
- Employee ownership is mentioned as a company characteristic; no specific employee benefit is stated.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
