Principal Architect, EDT Data Platform Engineering (Hybrid)

Posted 2 Days Ago
Be an Early Applicant
3 Locations
Hybrid
136K-271K Annually
Senior level
Healthtech
The Role
Designs and engineers scalable Azure and Databricks Lakehouse data platforms, including ingestion frameworks, batch and streaming pipelines, governed Bronze-to-Gold data models, quality controls, semantic layers, CI/CD, Infrastructure as Code, and access policies. The role translates enterprise architecture into reusable engineering solutions, guides delivery teams, troubleshoots technical issues, and partners with business stakeholders and data stewards to define metrics, requirements, and governance standards.
Summary Generated by Built In
Work Flexibility: Hybrid

As a Principal Architect, EDT Data Platform Engineering you will translate enterprise data architecture into scalable engineering solutions on the Azure and Databricks Lakehouse platform. You will partner with delivery teams, business representatives, and data stewards to build governed data pipelines, analytics-ready models, and reusable automation that improves consistency across projects and teams.

What you will do:

Technical Responsibilities:

  • Build and maintain ingestion frameworks using Azure Data Factory, Databricks, and Spark.
  • Implement Bronze-to-Silver transformations with data quality checks, schema validation, and data contract rules.
  • Optimize batch and streaming pipelines for performance and cost.
  • Own CI/CD pipelines in Azure DevOps and automate project onboarding, including repositories, pipelines, policies, and templates.
  • Maintain Infrastructure as Code and automation using Terraform, PowerShell, and Python; troubleshoot pipeline failures and permission issues.
  • Design curated Gold-layer data models, including star and snowflake schemas, fact tables, dimensions, surrogate keys, and slowly changing dimensions.
  • Align reusable models, KPI definitions, and business logic with the enterprise semantic layer in Power BI, Microsoft Fabric, and downstream tools.
  • Manage model changes through impact analysis, backward compatibility, regression support, and documented column derivation logic.
  • Implement Unity Catalog standards, naming conventions, metadata policies, data quality frameworks, and role- and attribute-based access controls.
  • Translate high-level architecture into low-level designs, reusable templates, and engineering playbooks.

Leadership & People Management Responsibilities:

  • Guide delivery teams through onboarding, debugging, and design reviews.
  • Create reusable assets and hands-on guidance that build engineering capability and reduce repeat questions.

Knowledge and Capabilities:

  • Assess complex data systems, identify patterns, and recommend practical solutions.
  • Explain technical concepts clearly to technical and non-technical stakeholders.
  • Partner with business representatives and data stewards to define requirements, validate metrics and edge cases, and guide solution decisions.
  • Identify opportunities for process optimization, redesign, and new or updated policies.

What You Need:

Required Qualifications

  • Bachelor's degree from an accredited university in Computer Science, Engineering, Information Systems, Business, or an equivalent field of study.
  • Minimum 8 years of experience in data engineering, data warehousing, and data and analytics platforms, including recent hands-on delivery on Azure and Databricks Lakehouse platforms.
  • Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks Delta Live Tables, Delta Lake, Spark, Workflows, and Unity Catalog.
  • Advanced experience with PySpark or Python and SQL, including batch and streaming pipeline design.
  • Experience with Azure DevOps pipelines, repositories, and policies; PowerShell automation; CI/CD; and Infrastructure as Code.
  • Experience with schema enforcement, data contracts, data quality frameworks, metadata-driven design, monitoring, debugging, and performance tuning.

Preferred Qualifications

  • Master's degree in Management Information Systems, Business Administration, or a related discipline, or an Azure analytics certification.
  • Experience with Microsoft Fabric
  • Experience within the medical device or another regulated industry.

  


United States of America Pay Ranges:

  • USN: $135,600 - $225,900 USD Annual
  • US10: $149,200 - $248,500 USD Annuall
  • US20: $162,700 - $271,100 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

  


Travel Percentage: 20%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or an equivalent field
  • At least 8 years of experience in data engineering, data warehousing, and data and analytics platforms
  • Recent hands-on experience delivering solutions on Azure and Databricks Lakehouse platforms
  • Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks Delta Live Tables, Delta Lake, Spark, Workflows, and Unity Catalog
  • Advanced experience with PySpark or Python and SQL
  • Experience designing batch and streaming data pipelines
  • Experience with Azure DevOps pipelines, repositories, policies, PowerShell automation, CI/CD, and Infrastructure as Code
  • Experience with schema enforcement, data contracts, data quality frameworks, metadata-driven design, monitoring, debugging, and performance tuning
  • Master's degree in Management Information Systems, Business Administration, or a related discipline
  • Azure analytics certification
  • Experience with Microsoft Fabric
  • Experience in the medical device or another regulated industry

Inari Medical Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Inari Medical and has not been reviewed or approved by Inari Medical.

  • Fair & Transparent Compensation Pay is considered competitive for many roles, with employees described as 'extremely happy' with total compensation including pay, stock, equity, and benefits. Feedback suggests above‑average salary levels across departments contribute to strong pay sentiment.
  • Healthcare Strength Benefits include comprehensive medical, dental, and vision coverage, with 100% employer‑paid premiums for employees cited in multiple descriptions. Additional options like critical illness, accident, hospital indemnity, and wellness programs reinforce the healthcare offering.
  • Leave & Time Off Breadth Time off is characterized by unlimited PTO, cited as a top benefit by employees. Paid holidays and flexible hours are also referenced, expanding the range of time‑off options.

Inari Medical Insights

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The Company
HQ: Irvine, CA
956 Employees

What We Do

Inari Medical, Inc. is a commercial-stage medical device company focused on developing products to treat and transform the lives of patients suffering from venous diseases.

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