Sr Platform Engineer

Blue Cross and Blue Shield of Nebraska • Omaha, NE

2d • Hybrid

About The Position

At Blue Cross and Blue Shield of Nebraska, the Senior Platform Engineer for Databricks will own and advance the enterprise platform supporting data engineering, analytics, and AI. The role is responsible for making the platform reliable, secure, and cost-effective as adoption grows. The engineer will join a small, growing Platform Engineering team that also owns GitHub Enterprise and Azure API Management; Databricks will be the initial focus, with opportunities to back up another platform and help shape future work.

The position allows remote flexibility and requires one day per week in the Omaha office. Omaha is the preferred location and receives first consideration. Candidates living in approved states—Florida, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and Texas—may need to travel to headquarters based on business needs. The ideal candidate lives within driving distance of the Omaha office.

The role leads technical direction, platform health, reliability, and lifecycle management; establishes security and governance guardrails; builds Infrastructure-as-Code and automation; enables governed adoption of Databricks AI capabilities; leads upgrades, migrations, integrations, and security remediation; and owns monitoring, incident response, root-cause analysis, and cost optimization. The engineer partners with security, architecture, compliance, and data teams, mentors engineers, and serves as backup for another Platform Engineering platform.

A bachelor’s degree in a relevant technical field and seven years of related experience are required, though an equivalent combination of education and experience may be considered. Candidates need production experience administering, securing, and troubleshooting an enterprise cloud data platform, experience delivering reusable platform capabilities, Infrastructure-as-Code and automation skills, and advanced cloud identity, networking, storage, security, and monitoring knowledge. Databricks experience is preferred, as are experience in regulated environments, relevant certifications, and experience with migrations, governance, disaster recovery, GitHub Enterprise, or Azure API Management.

The employer is unable to sponsor or take over sponsorship of an employment visa. The role may require on-call work based on business needs and assignment. Candidates must meet attendance and timeliness requirements, work effectively in a team, and build and maintain positive relationships with staff, departments, and customers. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions; other duties may be assigned.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Engineering, Information Systems, or a related technical field; an equivalent combination of education and experience may be considered.
• Seven years of experience in information technology, data engineering, cloud operations, platform engineering, DevOps, infrastructure support, or a related technical field.
• Hands-on production experience administering, securing, and troubleshooting an enterprise cloud data platform such as Databricks, Snowflake, Microsoft Fabric, or a comparable platform, including workspace or account configuration, compute, jobs, SQL warehouses, permissions, and usage policies.
• Experience delivering reusable data platform capabilities, guardrails, or deployment patterns adopted by multiple teams.
• Experience building Infrastructure-as-Code with Terraform or comparable tools and automating with Python, PowerShell, platform CLIs, or REST APIs.
• Advanced knowledge of cloud identity, networking, storage, security, and monitoring as they relate to enterprise data platforms, preferably in Microsoft Azure.
• Ability to meet or exceed departmental attendance and timeliness requirements.
• Ability to work well in a team environment and build and maintain positive relationships with staff, departments, and customers.
• On-call work may be required based on business needs and role assignment.
• Must be able to perform the essential duties satisfactorily; reasonable accommodations may be made for individuals with disabilities.
• Employment visa sponsorship or takeover of sponsorship is not available.

Nice To Haves

• Direct production experience with Databricks, or demonstrated ability to transfer comparable data platform experience to Databricks.
• Experience operating enterprise data platforms in regulated or security-conscious environments such as healthcare or financial services.
• Data platform or cloud certifications, such as Databricks, Snowflake, or Microsoft Azure certifications in platform administration, data engineering, security, or architecture.
• Experience leading data platform migrations, data governance or catalog adoption such as Unity Catalog, disaster recovery planning, or other major modernization efforts.
• Experience with GitHub Enterprise or Azure API Management, or a track record of quickly ramping up on new platforms.
• Track record of mentoring engineers, influencing technical strategy, and delivering measurable platform outcomes.
• Living within driving distance of the Omaha, Nebraska office.

Responsibilities

• Lead the technical direction, health, reliability, and lifecycle of the enterprise Databricks platform, including workspace configuration, compute, jobs, and SQL warehouses.
• Define and enforce standards for identity, access, networking, Unity Catalog, and sensitive-data controls, with clear ownership boundaries between platform and workload teams.
• Build Terraform-based Infrastructure-as-Code and automation using GitHub, the Databricks CLI, REST APIs, Python, or PowerShell, and publish reusable golden paths for data, analytics, and AI workloads.
• Apply AI-assisted engineering to platform support and enable governed adoption of Databricks AI capabilities such as Genie, agents, and model serving.
• Drive upgrades, migrations, integrations, and security remediations; prioritize enhancements based on risk, customer feedback, and adoption.
• Own monitoring, incident response, and root-cause analysis; optimize utilization through compute policies, budgets, tagging, and chargeback or showback.
• Partner with security, architecture, compliance, and data teams; mentor engineers; and serve as backup for another Platform Engineering platform.
• Meet departmental attendance and timeliness requirements and maintain positive working relationships with staff, departments, and customers.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior