Job Description
We are looking for a Senior Platform Engineer to be a core member of our team responsible for the health, stability, and growth of our Azure Databricks data engineering platform.
We also have current data Platforms on-prem (MS SQL server) and Cloud (Palantir Foundry) that this role will support those platforms as well until we have migrated off those platforms and completely on Azure Databricks.
In this role, you will be a hands-on expert who actively contributes to the platforms’ operational excellence, security, and performance. You will be a crucial resource for our data engineering teams, providing technical guidance and implementing key enhancements that empower them to build scalable and reliable data solutions.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
● Experience: 7+ years of hands-on experience in a data engineering, platform engineering, or DevOps role with a significant focus on cloud data platforms.
● Azure Databricks Expertise: Strong practical experience in managing and operating an Azure Databricks environment. Proven ability to work with core features like Delta Lake, Unity Catalog, and Apache Spark. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, and Databricks Certified Platform Administrator.
● Azure Proficiency: Solid working knowledge of the Azure ecosystem, including Azure Data Lake Storage (ADLS), Azure Active Directory (AAD), and cloud networking concepts.
● Distributed Systems: A solid understanding of distributed computing principles and experience troubleshooting issues in a distributed environment.
● Programming & Scripting: Strong proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting.
● Infrastructure as Code & CI/CD: Proven experience with Infrastructure as Code tools (e.g., Terraform) and building automated CI/CD pipelines for platform and data application deployments.
● Operational Mindset: Demonstrated experience in contributing to the operational stability and performance of a production platform.
● Communication: Excellent communication, documentation, and presentation skills, with the ability to influence technical and business stakeholders.
Nice to Have Skills & Experience
Preferred Qualifications
● Familiarity with healthcare data and healthcare insurance feeds
● Familiarity with Data Analytics and reporting
● Familiarity with ML/AI
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.