Senior Principal Data Engineer Jobs
Senior Principal Data Engineer jobs are open across technology, financial services, healthcare, and media at every level from staff engineer to distinguished engineer, with specializations in data architecture, platform engineering, and real-time streaming pipelines. Find a role that fits from the openings below and apply directly.
Find JobsOverview
Showing 5 of 43+ Senior Principal Data Engineer jobs
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78473
Description
We are seeking a highly motivated Senior Data Scientist to join our team and drive data-driven decision making across engineering, operations, and business functions. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and large-scale data processing to transform complex datasets into actionable insights that improve products, processes, and business outcomes.
The ideal candidate is passionate about solving challenging problems, working with diverse data sources, and partnering with cross-functional stakeholders to deliver innovative analytical solutions. You will play a key role in designing and implementing scalable data science solutions, developing predictive models, and communicating insights that influence strategic and operational decisions.
Responsibilities
Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement. Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges. Analyze large-scale structured and unstructured data to generate actionable insights and recommendations. Design experiments, predictive models, forecasting systems, and anomaly-detection solutions. Build scalable data pipelines, automated workflows, analytical tools, and reusable data products. Create dashboards and visualizations that enable timely, data-driven decisions. Communicate technical findings and strategic recommendations to stakeholders and leadership.
Required Experience and Skills
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
Proven track record of delivering data-driven solutions that generated measurable business impact.
Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, Anomaly Detection.
Experience working with large-scale structured and unstructured datasets.
Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
Strong problem-solving and analytical skills.
Ability to influence decision-making through data insights and recommendations.
Excellent written, verbal, and presentation skills.
Desired Experience and Skills
Preference for Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
Experience defining analytics strategy and influencing organizational direction.
Experience mentoring junior data scientists, analysts, or engineers.
Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, Anomaly detection.
Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
Expertise in deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.
#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $135,900 - $295,000 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78473
Description
We are seeking a highly motivated Senior Data Scientist to join our team and drive data-driven decision making across engineering, operations, and business functions. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and large-scale data processing to transform complex datasets into actionable insights that improve products, processes, and business outcomes.
The ideal candidate is passionate about solving challenging problems, working with diverse data sources, and partnering with cross-functional stakeholders to deliver innovative analytical solutions. You will play a key role in designing and implementing scalable data science solutions, developing predictive models, and communicating insights that influence strategic and operational decisions.
Responsibilities
Lead end-to-end data science initiatives from problem definition through deployment, adoption, and value measurement. Develop machine learning, statistical, optimization, and AI solutions for complex engineering and business challenges. Analyze large-scale structured and unstructured data to generate actionable insights and recommendations. Design experiments, predictive models, forecasting systems, and anomaly-detection solutions. Build scalable data pipelines, automated workflows, analytical tools, and reusable data products. Create dashboards and visualizations that enable timely, data-driven decisions. Communicate technical findings and strategic recommendations to stakeholders and leadership.
Required Experience and Skills
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
8+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
Solid understanding of statistics, experimental design, hypothesis testing, and predictive modeling.
Proven track record of delivering data-driven solutions that generated measurable business impact.
Experience developing, validating, and deploying machine learning and statistical models, including Regression, Classification, Clustering, Forecasting, Anomaly Detection.
Experience working with large-scale structured and unstructured datasets.
Experience extracting, transforming, integrating, and analyzing data from multiple disparate sources.
Experience collaborating with cross-functional stakeholders to translate business requirements into analytical solutions.
Strong problem-solving and analytical skills.
Ability to influence decision-making through data insights and recommendations.
Excellent written, verbal, and presentation skills.
Desired Experience and Skills
Preference for Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related field.
Experience leading end-to-end data science projects from problem definition through deployment and business adoption.
Experience defining analytics strategy and influencing organizational direction.
Experience mentoring junior data scientists, analysts, or engineers.
Experience in semiconductor, manufacturing, quality, supply chain, product, or engineering analytics.
Experience applying analytics to Yield improvement, Process optimization, Quality improvement, Forecasting, Capacity planning, Root-cause analysis, Anomaly detection.
Experience with cloud and big data platforms such as Azure, AWS, Databricks, or Spark.
Experience with Generative AI, Large Language Models (LLMs), and AI-assisted analytics solutions.
Expertise in deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of optimization methods, causal inference, advanced forecasting techniques, or reinforcement learning.
#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $135,900 - $295,000 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
Senior Principal Data Engineer Jobs by Experience Level
See All 43 Senior Principal Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Principal Data Engineer Job Market
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Manufacturing
- Medical Devices
- Media & Entertainment
What Employers Look For
The qualifications that appear most often in senior principal data engineer jobs.
- 8 or more years of experience designing and operating large-scale data platforms
- Expert-level proficiency in distributed processing frameworks such as Spark or Flink
- Deep experience with cloud data platforms including AWS, GCP, or Azure data services
- Demonstrated ability to define data architecture standards across multiple engineering teams
- Strong command of data modeling, warehousing concepts, and lakehouse patterns
- Experience mentoring senior engineers and influencing technical roadmaps at the organizational level
Tips for Your Senior Principal Data Engineer Job Search
Quantify pipeline scale on your resume
Senior principal roles attract scrutiny on scope, so replace vague language with concrete scale. Cite data volumes processed, latency targets hit, and the number of downstream teams your platform served. Reviewers at this level compare systems impact, not job duties.
Highlight cross-functional technical leadership
At the senior principal level, hiring managers want architects who align engineering, product, and analytics roadmaps. Your resume should show specific decisions you made that shaped org-wide data strategy, not just projects you delivered as an individual contributor.
Filter openings by architecture ownership signals
Job postings that mention 'define data platform strategy' or 'set engineering standards' are principal-track roles. Postings that say 'implement' or 'maintain' often get relabeled at lower levels. Read the responsibilities section carefully before investing time in an application.
Apply early to roles that fit
Migrate Mate lists senior principal data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
Senior principal interviews almost always include an open-ended system design round where you defend architectural tradeoffs. Prepare a walkthrough of one real platform you designed from scratch, covering why you chose your storage layer, processing model, and observability approach.
Negotiate scope before you negotiate compensation
At this seniority, reporting structure and technical scope erode faster than base pay. Ask explicitly what the role owns versus advises, whether the principal track has a defined promotion criteria, and how many engineers will be direct or indirect stakeholders of your decisions.
Senior Principal Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior principal data engineers?
The companies hiring the most senior principal data engineers right now include Oracle, Northrop Grumman, and Jabil, with the largest share of openings in California, Texas, and Georgia, based on current listings on Migrate Mate as of November 2026. Demand is strongest at companies running large internal data platforms that serve multiple product lines.
How many senior principal data engineer jobs are remote?
About 68% of senior principal data engineer openings are fully remote or hybrid as of November 2026, reflecting the hands-off-keyboard nature of architecture and strategy work at this level. Roles focused on platform governance, data mesh design, and cross-team technical standards tend to be the most remote-friendly, while roles with heavy hands-on infrastructure ownership often require on-site presence.
How do you become a senior principal data engineer?
You typically reach the senior principal level by first mastering end-to-end data platform ownership as a staff or principal engineer, then demonstrating that your architectural decisions influenced outcomes beyond your immediate team. Building a portfolio of platform designs you can defend technically, developing a reputation for cross-functional alignment, and publishing or presenting on data engineering problems accelerates recognition at this level.
Can you get hired as a senior principal data engineer with limited experience?
Direct hiring into a senior principal role with limited experience is uncommon because most job descriptions require a verified history of platform-scale ownership. The realistic path is to target principal or staff engineer roles first, take on architecture initiatives that give you cross-team scope, and build a paper trail of design decisions. Internal promotions from staff to senior principal are far more common than external hires at this level.
What does the senior principal data engineer interview process look like?
The process typically begins with a recruiter screen focused on scope and level, followed by a technical phone interview covering distributed systems and data modeling depth. Onsite or virtual rounds usually include a system design session where you architect a platform end to end, a behavioral round probing technical leadership and stakeholder influence, and a hiring manager conversation about roadmap priorities and org fit.
Where can I find and apply to senior principal data engineer jobs?
You can find and apply to senior principal data engineer jobs on Migrate Mate, which lists current openings from across the United States. Find the roles that fit your experience and target industries, then apply directly to each listing from the page.
See All 43 Senior Principal Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs