Ochsner Health
Principal Data Engineer
New Orleans - New Orleans Region - Louisiana · Principal
Sponsorship not specifiedDetected 12 days ago
SQLSnowflakeDatabricksAWSAzureCI/CDDevOpsPlatform EngineeringMachine LearningData AnalysisData EngineeringData VisualizationAgentic AIAI OrchestrationAccessibilityStakeholder ManagementProcess ImprovementPharmacy PracticeLeadershipCommunicationCollaborationProblem SolvingMentoring
About the role
- We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.
- The Principal Data Engineer is an enterprise‑level technical expert responsible for architecting complex data solutions, designing cross‑domain frameworks, and shaping the organizational data strategy.
Responsibilities
- Strategic mindset with the ability to design for long‑term scalability and value.
- Proven capability in ETL/ELT design, streaming data pipelines, workflow orchestration, and DevOps practices (version control, CI/CD).
- Deep expertise in Cloud Databases, Advanced SQL, Data modelling, Medallion data architectures, and complex data model design.
- Evaluates and implements emerging technologies, including AI/ML capabilities, to enhance data products and deliver measurable business value and innovation.
- Strong experience in developing and implementing engineering standards, best practices, and continuous improvement across the data engineering function.
- Building data products, semantic models and/or AI Agents
- Strong mentoring ability and passion for building engineering talent.
- Designs enterprise-scale data platforms and solutions leveraging cloud ecosystems (Azure, AWS) and modern data platforms (Snowflake, Databricks).
- Optimizes data ecosystems by simplifying integration patterns, improving performance, and eliminating redundancy.
- Drives engineering excellence through quality first practices, performance optimization, and process improvement initiatives.
Requirements
- Bachelor's Computer Science, Engineering, or related field.
- This role brings advanced engineering mastery, deep technology acumen, and the ability to apply an enterprise perspective to data architecture.
- 10+ years Data engineering or related technical experience.
- Ability to influence executive stakeholders and guide organizational direction.
Nice to have
- 10+ years experience in platform engineering and FinOps, data analytics, and visualization tools like Tableau, PowerBI and Sigma.
Skills
- Knowledge Skills and Abilities (KSAs)
- Excellent analytical, problem-solving, communication and stakeholder management skills.
Apply directly at Ochsner Health →Create a free account for alerts like thisView Ochsner Health immigration profile
This listing is sourced directly from Ochsner Health's careers page and normalized into a canonical job model.