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Remote Azure Databricks Jobs in Ohio (NOW HIRING)

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Own and evolve enterprise data security architecture across Databricks, Azure Data Lake, and ...

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... Databricks, Snowflake, or similar cloud‑based data platforms * Ability to analyze trends, mine ... Familiarity with Azure , automation, version control, or model deployment workflows * Strong ...

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Own and evolve enterprise data security architecture across Databricks, Azure Data Lake, and ...

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Remote Azure Databricks information

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What are the most commonly searched types of Azure Databricks jobs in Ohio? The most popular types of Azure Databricks jobs in Ohio are:
What job categories do people searching Remote Azure Databricks jobs in Ohio look for? The top searched job categories for Remote Azure Databricks jobs in Ohio are:
What cities in Ohio are hiring for Remote Azure Databricks jobs? Cities in Ohio with the most Remote Azure Databricks job openings:
Sr Manager, Data & Analytics Platform

Sr Manager, Data & Analytics Platform

McKesson

Columbus, OH • On-site, Remote

Full-time

Posted 17 days ago


McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

41st of 71 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

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.

The Senior Manager, Data & Analytics Platform is responsible for leading a team that provides operational support, administration, and engineering services for enterprise data and analytics platforms. This role focuses on ensuring the stability, performance, and effective use of shared analytics tools and environments that enable data engineering and analytics delivery teams.

This position is accountable for day-to-day platform operations, service reliability, and team execution, partnering closely with Analytical Modernization and other Data Technology teams to support delivery outcomes.

* Our preferred candidate would reside in the Columbus, OH area to support a hybrid work schedule, but we may consider a well-qualified full-remote candidate.

*This position requires current, unrestricted authorization to work in the United States on a permanent basis. We are unable to support or consider candidates on temporary work authorization, including but not limited to F-1 OPT, STEM OPT, CPT, or any status that requires employer sponsorship now or in the future.

Key Responsibilities:

  • Lead and manage a team of engineers responsible for administration, support, and operational management of data and analytics platforms (e.g., Databricks, Tableau, Power BI)

  • Ensure platform availability, stability, and performance through defined operational processes, monitoring, and incident management

  • Oversee user access, environment management, and security integration across data and analytics tools in alignment with enterprise standards

  • Manage platform-related service requests, support workflows, and prioritization in partnership with delivery teams

  • Support implementation and rollout of platform capabilities required by data engineering and analytics teams

  • Partner with architecture, security, and enterprise technology teams to ensure platform configurations align with standards and requirements

  • Monitor and manage cloud platform usage and costs related to analytics tooling, identifying opportunities for optimization

  • Coordinate platform upgrades, patching, and release activities in collaboration with external teams and vendors

  • Provide input into platform roadmap and improvements based on operational insights and team experience

  • Establish and reinforce standard operating procedures, documentation, and support models for platform services

People Leadership:

  • Directly manage and develop a team of engineers (typically 6-8 direct reports)

  • Set clear expectations for performance, delivery, and operational excellence

  • Provide coaching, feedback, and development opportunities to grow team capability

  • Ensure consistent execution of team processes, priorities, and service commitments

Required Experience & Skills:

  • Typically 9+ years of professional experience and 2+ years of management experience

  • Hands-on experience supporting and administering data and analytics platforms, with specific experience in Databricks, BI tools, and cloud-based data environments

  • Strong understanding of operational support models, including incident management, service management, and platform reliability

  • Experience working in cloud environments (Azure preferred) with awareness of cost and performance considerations

  • Ability to manage competing priorities and support requests in a fast-paced, delivery-driven environment

  • Strong collaboration skills with the ability to work across engineering, architecture, and business teams

  • Clear communication skills with the ability to translate technical concepts for different audiences

Preferred Experience:

  • Experience supporting modern data platforms and analytics tooling in a shared services model

  • Familiarity with data engineering workflows and how platform services enable delivery teams

  • Experience working in environments with both modern and legacy technologies

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 McKesson's 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, pleaseclick here.

Our Base Pay Range for this position

$131,600 - $219,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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