Senior Software Architect AI/ML located within mid-west W2 role
Compensation
$120K - 180K a year
Responsibilities
Lead architectural design and platform enablement for federated data and ML platforms ensuring security, scalability, and consistency.
Requirements
7+ years in data/platform engineering with strong leadership, hands-on Databricks expertise, and experience in federated data/ML platform design.
Full Description
who can work on our W2 will be considered. Mid-West candidates only . Key Responsibilities • Collaborate with Data & ML Platform leadership to align architecture with strategic goals. • Drive platform consistency, security, and scalable adoption across federated teams. • Apply secure-by-default design and FinOps-aware decision-making Required Skills: • 7+ years in data/platform engineering with strong architectural leadership • Proven experience in federated data/ML platform design (Data Mesh or domain-oriented architectures). • Deep hands-on expertise with Databricks (governance, workspaces, Unity Catalog). • Strong platform mindset focus on reusability, scalability, and reducing user cognitive load. • Experience guiding teams through architectural adoption and platform enablement. Nice to Have • Hands-on Terraform and AWS (IAM, S3, networking). • Background in platform product design and developer experience. • Knowledge of cybersecurity and secure-by-default cloud design. • FinOps awareness and Databricks cost optimization strategies. • Experience in federated data governance / data mesh operating models.
This job posting was last updated on 10/21/2025
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