Senior Level Senior Principal Data Engineer Jobs
Senior level senior principal data engineer jobs place experienced engineers at the helm of enterprise data strategy, architectural decisions, and the cross-functional teams and initiatives that deliver them. Openings concentrate in Technology & Software, Electronics & Hardware, and Insurance across on-site, remote, and hybrid settings, with organizations like Ingram Micro, AIG, and Roblox hiring at this level now.
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Why join Stryker?
Looking for a place that values your unique talents? Discover Stryker's award-winning culture.We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific.
Job description
We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you 12 paid holidays annually. For an overview of our benefits and time off, please follow this link to learn more:US Stryker employee benefits.As a Senior Principal Architect, EDT Data Architecture Strategy & Standards, you will own the enterprise data and analytics architecture strategy, standards, and design patterns for the global Azure and Databricks Lakehouse ecosystem. You will partner directly with engineering teams, architecture forums, business leaders, Microsoft, and Databricks to define the target state, guide critical design decisions, and validate standards through working implementations.
What You Will Do:
Technical Responsibilities
- Define and own the enterprise reference architecture and multi-year roadmap across Azure Data Lake Storage, Databricks, Delta Lake, Unity Catalog, medallion architecture, Power BI, Databricks Genie, and Microsoft Copilot experiences.
- Publish and maintain design standards and reusable blueprints for lakehouse zoning, Delta table design, ingestion, orchestration, semantic models, security, and access, supported by working reference implementations.
- Co-chair the architecture review board, exercise approval rights at defined design gates, maintain Architecture Decision Records, and manage waivers for justified deviations.
- Intervene in critical technical decisions and architectural drift through design sessions, code reviews, and hands-on guidance, serving as the escalation point for technical disputes.
- Design and build batch and streaming pipelines using change data capture, Delta Live Tables, Databricks Workflows, Auto Loader, Azure Data Factory, PySpark, and SQL medallion transformations.
- Review production code and pipeline designs, including Spark jobs, compute configurations, performance tuning, and Databricks Unit efficiency, and pair with engineers to refactor solutions toward approved patterns.
- Establish lifecycle standards for data quality, pipeline testing, continuous integration and delivery, observability, and lineage, and run proofs of concept, architecture spikes, and solution health assessments.
- Serve as the senior technical counterpart to Microsoft and Databricks by evaluating preview features, influencing roadmaps, and translating vendor direction into architectural implications.
Knowledge and Capabilities
- Assess complex platforms, identify patterns, troubleshoot issues, and guide teams toward practical architecture and process improvements.
- Explain technical concepts, recommendations, and tradeoffs clearly in executive forums and detailed technical design sessions.
- Partner with business representatives at all levels to identify needs, document requirements, and guide decisions toward effective solutions.
What You Need:
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field.
- Minimum 10 years of progressive experience in data engineering, data architecture, and analytics within large, global enterprises, including recent hands-on delivery using Azure and Databricks Lakehouse platforms.
- Experience personally architecting and implementing enterprise data platforms and batch or streaming pipelines.
- Experience with Azure, Azure Data Lake Storage, Databricks Spark, Delta Lake, Unity Catalog, Databricks Workflows or Delta Live Tables, modern data engineering practices, and Power BI.
- Experience defining and operationalizing enterprise architecture standards, reference architectures, and architecture review or design authority processes.
- Experience applying data security, privacy, and regulated-environment requirements, including GxP, HIPAA, and personally identifiable or protected health information controls.
Preferred Qualifications
- Master’s degree in Management Information Systems, Business Administration, or a related discipline.
- Azure analytics certification and experience with Databricks Genie and Microsoft Copilot.
United States of America Pay Ranges:
- USN: $155,900 - $259,700 USD Annual
- US10: $171,500 - $285,700 USD Annual
- US20: $187,100 - $311,600 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.
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Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Insurance
- Medical Devices
- Media & Entertainment
Senior Level Senior Principal Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior principal data engineer job?
Employers at this level want candidates who have owned data platforms end to end, not just contributed to them. Highlight architectural decisions you made, the scale of pipelines you designed, and any mentoring or technical leadership you provided. Demonstrating that you set direction for a team or drove a data initiative from scoping through delivery gives you a clear edge over candidates who can only show execution.
Which companies hire senior level senior principal data engineers?
Companies hiring senior level senior principal data engineers right now include Ingram Micro, AIG, and Roblox, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large enterprises and high-growth technology organizations that operate complex data ecosystems and need engineers who can lead them, not just maintain them.
Are there remote senior level senior principal data engineer jobs?
Yes, remote and hybrid opportunities are well represented at this level. About 36% of senior level senior principal data engineer openings are remote or hybrid as of September 2026, reflecting how many organizations treat principal-level data engineering as a role that can function effectively without a daily on-site requirement. Fully on-site roles do still exist, particularly in regulated industries.
What makes a senior principal data engineer role senior level?
Senior level senior principal data engineer roles are defined by ownership and scope rather than task execution. Engineers at this level set the technical direction for data infrastructure, make architectural trade-offs that affect multiple teams, and are accountable for outcomes rather than just deliverables. Mentoring junior and mid-level engineers and partnering with product and business stakeholders on strategy are standard expectations, not occasional responsibilities.
Which industries hire the most senior level senior principal data engineers?
Senior Level senior principal data engineer roles concentrate in Technology & Software, Electronics & Hardware, and Insurance, based on current listings on Migrate Mate as of September 2026. These sectors generate the data volume, complexity, and regulatory requirements that create genuine demand for engineers who can architect and lead at scale rather than fill a contributing role.