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What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Be part of the team that is poised to transform the fight against cancer. Backed by the strength of a Fortune 9 company, our entrepreneurial organization develops technologies used by the oncology community to deliver evidence-based, personalized care, as well as insights used by biopharma companies to accelerate drug development and support the entire treatment journey. Our work powers informed decision-making at every pivotal moment in oncology – from the treatment options presented to patients, to the operational considerations for oncology practices, to the design of clinical trials, to the commercial launch plans for new therapies. 

As a Data Platform Engineer at Ontada, you will play a crucial role in designing, implementing, and maintaining our data platform. You will work collaboratively with cross-functional teams to ensure seamless data integration, processing, and analysis. Your expertise in Azure cloud and experience in the healthcare industry will be invaluable as we continue to grow and innovate.

Key Responsibilities

Platform Management: Oversee the day-to-day operations of the Azure Databricks platform, ensuring optimal performance, security, and scalability. This includes cluster management, workload optimization, and monitoring for anomalies.

Cost Optimization: Monitor platform usage and costs, identifying opportunities for optimization and cost-saving measures. Implement strategies to optimize resource utilization and reduce unnecessary expenses.

Problem Solving: Diagnose and resolve complex technical issues related to the Databricks platform, including performance bottlenecks, data ingestion challenges, and cluster management problems. Leverage Azure Cloud tools and services (e.g., Azure Monitor, Azure Log Analytics) for effective troubleshooting.

Automation: Develop and implement automation scripts and workflows using Azure DevOps or similar tools to streamline platform management tasks, improve efficiency, and reduce errors.

Azure Cloud Expertise: Demonstrate a strong understanding of Azure cloud services and architecture. Leverage Azure resources (e.g., Azure Storage, Azure Data Factory) to integrate Databricks with other components of the cloud infrastructure.

Security and Compliance: Ensure that the Databricks environment adheres to security best practices and complies with relevant regulations (e.g., HIPAA, GDPR). Implement security measures, such as access controls, encryption, and vulnerability management.

Collaboration: Work closely with data scientists, analysts, and engineers to provide technical guidance and support for their data projects. Facilitate the efficient use of the databricks platform and address their specific needs.

Continuous Improvement: Stay up to date with the latest Azure and Databricks features and best practices, recommending and implementing platform enhancements to improve performance, scalability, and security.

Minimum Requirement

Degree or equivalent and typically requires 7+ years of relevant experience.

Education

BS or MS in Computer Science, Mathematics or related field

Critical Skills

7+ years of professional experience with architecting and managing big data platforms in Azure

4+ administration experience with databricks

Familiarity with CI/CD pipelines and DevOps practices.

Experience in engineering large-scale distributed systems in a production environment

Working knowledge of SQL or other relational databases, and data warehousing principles

Strong verbal and written communication skills, including the ability to articulate complex technical concepts to non-technical stakeholders

Ability to work gracefully and effectively in high-pressure situations

Knowledge of healthcare IT systems and workflows

Experience with Visualization tool like tableau or PowerBI is plus

Additional Skills

Certifications in Azure or Databricks

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKessons pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$129,000 - $215,000

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!