Senior Platform Engineer - Analytics Platform; Databricks | Palantir

Position: Senior Platform Engineer - Analytics Platform (Databricks | Palantir)
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Senior Platform Engineer - Analytics Platform (Databricks | Palantir)  ####

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|  |Reporting to the Manager of Data Platforms & Engineering, you will design, automate, and operate scalable, reliable data platforms-primarily Databricks and Palantir Foundry-within Conagra's Azure environment. You will enable consistent, high-quality data engineering and data product delivery through CI/CD, Infrastructure-as-Code, and robust Disaster Recovery, applying site reliability engineering principles to drive automation, observability, and resilience across the data platform ecosystem.

** A Taste of Your Responsibilities*
* ** Data Platform Engineering (Primary Focus)*
* * Build, operate, and optimize Databricks and/or Palantir Foundry work spaces, clusters, jobs, storage integrations, and platform configurations.  
* Manage workspace governance, cluster policies, secrets, access controls, and cost guardrails.  
* Automate platform provisioning, onboarding, and environment consistency through Infrastructure-as-Code.

** CI/CD for Data Engineering & Data Products*
* * Design and maintain CI/CD pipelines supporting consistent deployment of notebooks, transformations, libraries, and data products while supporting test-driven development standards.  
* Standardize data product delivery using reusable pipeline templates and paved-road deployment frameworks.  
* Enforce guardrails and quality gates to ensure reliable, safe, and compliant data product releases.

** Resiliency & Disaster Recovery*
* * Strengthen platform resilience and Disaster Recovery readiness across environments.  
* Participate in on-call rotations for platform incidents.  
* Execute runbooks, lead postmortems, and drive improvements for platform reliability.  
* Perform scheduled chaos testing and Disaster Recovery preparedness checks.

** Ingredients Required for Your Success*
* ** Required Qualifications*
* * 5+ years in platform engineering, data platform operations, site reliability engineering, Dev Ops, or related roles.  
* 3+ years of hands-on experience supporting Databricks and/or Palantir in a production environment.  
* Strong troubleshooting skills across distributed systems, data pipelines, and system integrations.  
* Proficiency in at least one scripting language such as Python or Bash.  
* Familiarity with cloud fundamentals (Azure or Google Cloud Platform), networking concepts, and identity and access management.  
* Extensive experience with CI/CD, Infrastructure-as-Code, and platform-level automation.  
* Experience with operational excellence practices such as monitoring, alerting, incident response, and root-cause analysis.  
* Strong communication skills and comfort collaborating with engineering teams and business partners.

** Preferred Qualifications*
* * 3+ years operating cloud environments, with preference for Azure.  
* Experience with Terraform, policy-as-code, observability tooling, and Disaster Recovery engineering.  
* Skill in influencing platform strategy and mentoring engineering teams on site reliability engineering and Dev Ops practices for data engineering.

** Number of Days in Office: 3**     #LI-Hybrid   #LI-MSL   #LI-SG1     
** Compensation
* * Pay Range:$81,000-$118,000    The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

** Our Benefits
** We care about your total well-being and will support you with the following, subject to your location and role:  
* Health:
Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
* Wealth:
Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
* Growth:

Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
* Balance:
Paid-time off,…