Data Platform Engineer, Senior Staff

• Design and build scalable, distributed data platform systems
• Own Databricks workspace architecture, governance, and lifecycle management
• Implement infrastructure as code using Terraform/Terramate
• Build and support end-to-end data pipelines, from ingestion to analytics and ML
• Develop and maintain CI/CD pipelines for infrastructure, data pipelines, notebooks, SQL, and ML artifacts
• Operate and optimize Amazon EKS clusters supporting data workloads
• Define and monitor SLIs/SLOs for platform reliability and data quality
• Drive innovation and continuous improvement across platform architecture and tooling
• Lead incident response, on-call rotations, and blameless post-mortems
• Implement strong security, compliance, and governance controls
• Mentor engineers and influence platform standards and best practices

• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field., 9+ years of IT-related work experience without a Bachelor's degree.
• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms., * Proven experience designing complex, distributed data systems end-to-end
• Strong system design skills across cloud infrastructure, data pipelines, storage, governance, and observability
• Ability to evaluate and communicate architectural trade-offs (scalability, reliability, cost, security, operability)
• Demonstrated innovation mindset, such as:
• Modernizing or simplifying legacy data platforms
• Introducing new architectural patterns or platform capabilities
• Improving reliability, performance, or developer experience through design

Cloud & Data Platform Expertise

• 8+ years building and operating large-scale cloud platforms
• 5+ years in Data Platform, DevOps, SRE, or DataOps roles
• Expert-level experience with AWS, including networking, IAM, security, and multi-account environments
• Strong hands-on experience with Databricks Lakehouse Platform, including:
• Unity Catalog
• Delta Lake
• MLflow
• Experience owning Databricks workspace architecture and governance

Infrastructure, Automation & Reliability

• Deep experience with Terraform/Terramate (or similar IaC tools)
• Proven experience building CI/CD pipelines (GitHub Actions, Jenkins)
• Advanced Python and Bash scripting skills
• Hands-on experience managing Amazon EKS clusters and Helm deployments
• Experience defining and operating SLIs/SLOs for platform reliability and data quality

Security & Leadership

• Strong understanding of cloud security best practices
• Experience supporting SOX, GDPR, or regulated environments
• AWS Certified DevOps Engineer - Professional (or equivalent experience)
• Ability to work independently and mentor team members
• Strong communication skills to explain complex system designs to technical and non-technical stakeholders

Nice-to-Have

• Experience with Acceldata, OpenTelemetry, or data observability tools
• Experience with Fivetran Hybrid / HVR or enterprise ingestion tools
• Experience working with Hashicorp vault or similar secret management tools
• Policy-as-code experience using OPA
• Experience working with static Code analysis tool like Sonar
• Experience with data lineage or metadata management tools
• Databricks serverless compute optimization and cost management
• Experience driving platform strategy across multiple teams distributed globally

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• 16 days ago

*, + $125,000-175,000 per year

Company:Qualcomm Incorporated## Job Area:Information Technology Group, Information Technology Group > IT Data EngineerGeneral Summary:We are hiring a Data Platform Engineer to design, build, and operate a modern, data platform with Databricks Lakehouse as a core foundation.This role is ideal for a senior engineer who excels in system design, platform innovation, and hands-on execution. You will help design, implement and improve reliability of the data platform, influence architectural direction, and mentor engineers while working closely with data scientists, analysts, and application teams.This is a hands-on, high-impact role with strong ownership across architecture, implementation, reliability, security, and cost optimization.This role requires full-time onsite work (5 days per week) in either San Diego, CA or Boulder, CO.Minimum Qualifications, authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are, © 2026 Careerjet All rights reserved