Senior Engineer, Data – Archimedes

Navitus Health Solutions

Sr. Engineer, Data leading enterprise data engineering and lakehouse architecture initiatives at Archimedes.

Posted 6/16/2026full-timeMontana, Tennessee • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data engineeringlakehouse architecturedata modelingdata platform modernizationcanonical enterprise data modelsbusiness entity mappingsmaster data structuresdata productsApache SparkPySpark

Tools & Technologies

Azure DatabricksDelta LakeAzure Data Lake Storage Gen2Unity CatalogDataOps automationCI/CD pipelines

Certifications & Qualifications

AWS Certified Data AnalyticsAWS Certified Solutions ArchitectMicrosoft Certified: Azure Data Engineer AssociateCertified Data Management Professional (CDMP)

Industry Keywords

enterprise reportinganalyticsautomationAI initiativescloud-native data technologies

Tech Stack

Tools & technologies

ApacheAWSAzureCloudPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact

Serve as the technical lead for enterprise data engineering, lakehouse architecture, data modeling, and data platform modernization initiatives
Design and implement lake house architectures utilizing Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related modern data platform technologies
Develop canonical enterprise data models, business entity mappings, master data structures, and reusable data products supporting enterprise reporting, analytics, automation, and AI initiatives
Build and maintain bronze, silver, and gold data layers supporting governed, trusted, and AI-ready datasets

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field required
AWS Certified Data Analytics or Solutions Architect, Microsoft Certified: Azure Data Engineer Associate, and Certified Data Management Professional (CDMP) required
8+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, Data Platform Engineering, or related disciplines required
5+ years of experience designing and implementing modern lake house architectures utilizing Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related cloud-native data technologies required
Strong experience with Apache Spark, PySpark, SQL, Python, DataOps automation, CI/CD pipelines, and cloud-native data engineering practices required

Benefits

Comp & perks

Health, Dental, and Vision insurance
20 days paid time off
4 weeks paid parental leave
9 paid holidays
401K company match of up to 5% - No vesting requirement
Adoption Assistance Program
Flexible Spending Account
Educational Assistance Plan and Professional Membership assistance
Referral Bonus Program – up to $750!