We are looking for an experienced Principal Applications Architect with expertise in Data & Machine Learning to join our team in Indianapolis, Indiana. In this long-term contract position, you will lead the design and enhancement of our Databricks-based Data & ML Platform, driving its capabilities to support federated domain teams across R& D. Your work will focus on improving productivity, governance, and scalability while enabling teams to efficiently build and manage their data and AI products.<br><br>Responsibilities:<br>• Lead the development and optimization of platform capabilities using Databricks to enhance productivity, governance, and autonomy for federated domain teams.<br>• Collaborate with leadership to align platform features with strategic roadmaps and enablement goals.<br>• Provide technical guidance to teams adopting the platform, ensuring best practices are followed to create scalable solutions.<br>• Identify challenges faced by data professionals and translate those into actionable platform features, reusable patterns, and support materials.<br>• Work across multiple domains to maintain platform consistency, align governance practices, and promote scalable adoption in accordance with data mesh principles.<br>• Offer hands-on technical support to develop reference implementations, Infrastructure-as-Code (IaC) modules, and other platform accelerators.<br>• Advocate for secure-by-default design by applying modern cybersecurity principles to cloud-native platforms.<br>• Support FinOps-informed decision-making by evaluating and communicating trade-offs in Databricks implementation approaches and configurations.
• Minimum of 7 years of experience in technical leadership roles within data or platform engineering.<br>• Extensive experience in designing or managing federated data and ML environments where teams independently utilize platform capabilities.<br>• Strong expertise in platform architecture and patterns that align with data mesh principles and domain-oriented enablement.<br>• Ability to prioritize development of reusable platform capabilities and streamline user workflows to minimize complexity.<br>• Proven track record of influencing architecture decisions and guiding teams toward platform-aligned methodologies.<br>• Advanced knowledge of Databricks platform, including governance, workspace design, multi-domain enablement, and Unity Catalog configurations.<br>• Familiarity with tools such as Terraform and cloud infrastructure concepts (AWS, S3, networking) is a plus.<br>• Understanding of secure-by-default design principles and FinOps strategies for cost-efficient cloud platform management.
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- Indianapolis, IN
- onsite
- Temporary
- - USD / Hourly
- We are looking for an experienced Principal Applications Architect with expertise in Data & Machine Learning to join our team in Indianapolis, Indiana. In this long-term contract position, you will lead the design and enhancement of our Databricks-based Data & ML Platform, driving its capabilities to support federated domain teams across R& D. Your work will focus on improving productivity, governance, and scalability while enabling teams to efficiently build and manage their data and AI products.<br><br>Responsibilities:<br>• Lead the development and optimization of platform capabilities using Databricks to enhance productivity, governance, and autonomy for federated domain teams.<br>• Collaborate with leadership to align platform features with strategic roadmaps and enablement goals.<br>• Provide technical guidance to teams adopting the platform, ensuring best practices are followed to create scalable solutions.<br>• Identify challenges faced by data professionals and translate those into actionable platform features, reusable patterns, and support materials.<br>• Work across multiple domains to maintain platform consistency, align governance practices, and promote scalable adoption in accordance with data mesh principles.<br>• Offer hands-on technical support to develop reference implementations, Infrastructure-as-Code (IaC) modules, and other platform accelerators.<br>• Advocate for secure-by-default design by applying modern cybersecurity principles to cloud-native platforms.<br>• Support FinOps-informed decision-making by evaluating and communicating trade-offs in Databricks implementation approaches and configurations.
- 2025-10-20T13:30:57Z