Lead Software Engineer (Databricks Platform Engineer)

Posted 8 Days Ago
Be an Early Applicant
75062, Irving, TX, USA
In-Office
118K-206K Annually
Senior level
Analytics • Consulting
The Role
Lead design, engineering, and evolution of the enterprise Databricks platform. Build IaC, CI/CD, automation, and self-service capabilities; enable ML/AI features (MLflow, Model Registry, Feature Store, Vector Search); optimize performance, security, governance, and cost; evaluate new technologies; mentor engineers and drive platform adoption across stakeholders.
Summary Generated by Built In

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:
 

In this role, you will lead the design, engineering, and evolution of the enterprise Databricks platform as a strategic capability that enables analytics, data products, machine learning, and AI solutions across the organization. You will develop reusable platform services, automation frameworks, reference architectures, and self-service capabilities that accelerate delivery while aligning with enterprise architecture, governance, and engineering standards. You will collaborate with cross-functional teams to enhance developer experience, drive platform adoption, evaluate emerging technologies, and deliver scalable, secure, and cost-effective healthcare data and AI solutions.

Responsibilities:

  • Lead the design, implementation, and continuous evolution of the enterprise Databricks platform and supporting architecture.
  • Develop reusable platform services, reference architectures, engineering standards, and implementation patterns for analytics, data products, streaming, and AI workloads.
  • Build Infrastructure-as-Code, CI/CD pipelines, and automation frameworks to improve platform scalability, reliability, and operational efficiency.
  • Create self-service capabilities, reusable templates, and engineering accelerators that simplify platform onboarding and deployment.
  • Optimize platform performance, scalability, security, governance, and cost efficiency across cloud environments.
  • Enable machine learning and AI platform capabilities by implementing patterns for MLflow, Model Registry, Feature Store, Vector Search, and other Databricks technologies.
  • Partner with Enterprise Architecture, Data Engineering, Product Management, Cloud Engineering, Data Science, and client stakeholders to deliver enterprise platform capabilities.
  • Evaluate emerging Databricks features and cloud technologies, lead proof-of-concepts, and recommend platform enhancements that support business objectives.
  • Provide technical leadership, mentoring, and engineering guidance while promoting Platform-as-a-Product principles and engineering best practices.
  • Drive continuous improvement through automation, innovation, and adoption of enterprise platform standards.

Qualifications:

  • Relevant degree preferred. Advanced degree in Computer Science, Engineering, Information Systems, or a related field preferred.
  • 7 or more years of relevant experience required.
  • 3 or more years of hands-on experience designing, implementing, and supporting Databricks platform solutions required.
  • Strong experience with Azure cloud services, cloud-native architectures, and enterprise platform engineering required.
  • Experience with Terraform, Infrastructure-as-Code, and CI/CD pipelines, and infrastructure automation.
  • Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architectures.
  • Experience developing reusable platform services, automation frameworks, self-service capabilities, and engineering accelerators.
  • Experience supporting machine learning and AI platform capabilities, including MLflow, Model Registry, Feature Store, Vector Search, or MLOps practices preferred.
  • Databricks certification, experience with streaming and event-driven architectures, enterprise-scale data platforms, or healthcare industry experience preferred.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer:   Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Skills Required

  • 7 or more years of relevant experience
  • 3 or more years of hands-on experience designing, implementing, and supporting Databricks platform solutions
  • Strong experience with Azure cloud services and cloud-native architectures
  • Experience with Terraform, Infrastructure-as-Code, CI/CD pipelines, and infrastructure automation
  • Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architectures
  • Experience developing reusable platform services, automation frameworks, self-service capabilities, and engineering accelerators
  • Experience supporting machine learning and AI platform capabilities, including MLflow, Model Registry, Feature Store, Vector Search, or MLOps practices
  • Databricks certification
  • Experience with streaming and event-driven architectures
  • Experience with enterprise-scale data platforms
  • Healthcare industry experience
  • Relevant degree in Computer Science, Engineering, Information Systems, or related field (advanced degree preferred)

Vizient Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.

  • Leave & Time Off Breadth Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
  • Flexible Benefits Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
  • Retirement Support Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.

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The Company
HQ: Irving, TX
5,661 Employees
Year Founded: 1977

What We Do

Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.

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