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Senior Principal Data Engineer Jobs in Arizona (NOW HIRING)

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Partner closely with the Principal Data Engineer, team lead, and cross-functional stakeholders to ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Partner closely with the Principal Data Engineer, team lead, and cross-functional stakeholders to ...

Insight Enterprises

Principal Data Scientist

Phoenix, AZ · On-site

$150 - $210/hr

Serve as a senior advisor to clinical, technical, and executive stakeholders, helping them ... Mentor data scientists and engineers while contributing reusable healthcare ML patterns, Databricks ...

Quest Global

Senior Principal Software Engineer

Tucson, AZ · On-site

$140K - $160K/yr

Senior Principal Software Engineer Tucson, AZ US The Senior Principal Software Engineer position is ... interface and data protocols such as TCP/IP, UDP, or RS-422 · Extensive knowledge of the ...

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Senior Principal Data Engineer information

What is a senior principal data engineer?

Senior Principal Data Engineers are experienced professionals who design, develop, and oversee large-scale data systems and architectures for organizations. They lead teams in building robust data pipelines, ensure data quality, and implement best practices for data storage, processing, and security. Their role often involves collaborating with data scientists, analysts, and other stakeholders to support data-driven decision-making. They also mentor junior engineers and help set the technical vision for data engineering projects.

What are the key skills and qualifications needed to thrive as a senior principal data engineer?

To thrive as a Senior Principal Data Engineer, you need deep expertise in data architecture, data modeling, distributed systems, and strong proficiency in programming languages like Python, Java, or Scala, often supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and relevant certifications such as AWS Certified Data Analytics or Google Professional Data Engineer is highly valuable. Leadership, strategic thinking, and excellent communication skills help you guide teams and align data solutions with business goals. These capabilities are crucial for designing scalable, robust data infrastructure and driving data-driven decision-making at an organizational level.

How does a senior principal data engineer typically collaborate with cross-functional teams on large-scale projects?

Senior Principal Data Engineers often serve as technical leaders, working closely with data scientists, software engineers, product managers, and business stakeholders to design and implement robust data architectures. They facilitate communication across teams to ensure data solutions align with both technical requirements and business goals. Collaboration may involve leading design discussions, reviewing code, mentoring junior engineers, and establishing best practices for data quality and scalability. Their role is crucial in bridging gaps between technical and non-technical teams, ensuring successful project delivery.

What is the difference between Senior Principal Data Engineer vs Lead Data Engineer?

AspectSenior Principal Data EngineerLead Data Engineer
CredentialsAdvanced degrees (MSc/PhD), extensive experienceBachelor's or Master's, significant data engineering experience
Work EnvironmentStrategic, architecture design, cross-team collaborationProject execution, team coordination, technical leadership
Industry UsageUsed in large organizations for high-level technical rolesCommon in tech companies and data-driven industries

The Senior Principal Data Engineer focuses on strategic architecture and high-level technical decisions, often working across teams. In contrast, the Lead Data Engineer manages project execution and team coordination. Both roles require strong technical skills, but the Senior Principal typically has more experience and a broader scope of responsibilities.

How much does a senior principal data engineer make?

A senior principal data engineer typically earns between $130,000 and $180,000 annually, depending on experience, location, and industry. They often have advanced skills in data architecture, cloud platforms, and programming languages like Python or Scala, which can influence compensation levels.

What are popular job titles related to Senior Principal Data Engineer jobs in Arizona?

For Senior Principal Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Senior Principal Data Engineer jobs in Arizona look for?

The top searched job categories for Senior Principal Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Senior Principal Data Engineer jobs?

Cities in Arizona with the most Senior Principal Data Engineer job openings:

Senior Principal Data Engineer jobs near you
Infographic showing various Senior Principal Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Engineer I - Senior Data Engineer

Western Alliance Bancorporation

Phoenix, AZ • On-site

$124K - $171K/yr

Full-time

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Job Title:
Principal Engineer I - Senior Data Engineer
Location:
Block 23
What you'll do:
As the Principal Data Engineer, you are accountable to design, build, and implement critical components of the enterprise data platform in accordance with the strategic data and analytics needs of Western Alliance Bank Regulatory Reporting Program. This challenging role requires the best of your data management, cloud data engineering and technology knowledge to develop a cross-business unit data tier that is leveraged to implement and enhance the Bank's regulatory reporting capabilities, including Large Financial Institution requirements. The Principal Data Engineer is a pioneer in our modern data platform working directly with data analysts, data engineers, enterprise architects, and business stakeholders. Embedded in the Enterprise Data & Analytics function, you influence the culture of data integration practices and are essential to mentoring other data professionals.
  • Implement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of Azure DevOps for the implementation of the Western Alliance Bank Regulatory Reporting and LFI strategy and roadmap.
  • Develop ETL and data pipeline capabilities considering how data is created, transformed, stored, archived, analyzed, and shared across Western Alliance Bank and our partner systems.
  • Expert-level PySpark development experience, including:
    • Writing dynamic, parameterized, and reusable PySpark code
    • Building shared frameworks, helper functions, and companion notebook structures
    • Performance tuning and optimization of Spark workloads
  • Implement Azure DevOps CI/CD pipelines for all data solutions in adherence to Western Alliance Bank technical standards.
  • Apply Test Driven Development methodology to all data solutions designed, built, and implemented.
  • Lead the implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture.
  • Perform data exploration and data profiling with tools such as SSAS.
  • Actively participate in making data architecture decisions.
  • Provide technical mentorship to team members and other data professionals.
  • Collaborate with product owners and business stakeholders to gain a working understanding of business requirements and operational processes.
  • Implement built-in quality and compliance- by-design in all data solutions.
  • Implement methods to include unstructured data and big data.

What you'll need:
  • 8+ years' experience with data engineering specifically in Extract, Transform and Load (ETL) concepts and processes, enterprise data warehouse capabilities, database principles, and other related tools and technologies; preferably strong to expert in Azure Data Factory, Azure Synapse Analytics and/or Databricks.
  • 5+ years' experience designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience strongly preferred.
  • Bachelor's degree in engineering or related field.
  • Expert level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL.
  • Design and build reusable, dynamic PySpark components, including:
    • Companion notebook frameworks
    • Shared helper functions and libraries
    • Parameter-driven ingestion and transformation patterns
  • Support and influence the migration from Azure Synapse to Microsoft Fabric, including modernization of patterns and frameworks.
  • Expert level experience in conceptual, logical, and physical data design.
  • Certifications within Azure such as Azure Fundamentals, Azure Fabric Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer.
  • Experience with design tools as it relates to creating conceptual architecture diagrams and data flow diagrams such as Visio, Archimate, Lucidchart.
  • Excellent communication skills both verbal and written.
  • Familiarity with data science and analytics tools such as SAS, Tableau, PowerBI.
  • Experience in Agile, SAFe, and/or Scrum is preferred.
  • Experience integrating with data quality, data catalog and data lineage tools is preferred.
  • Additional Cloud Data certifications with any major cloud provides (Azure, AWS, GCP) is preferred.
  • Banking or financial services industry experience or other highly regulated industry experience is preferred.
  • Regulatory Reporting, including Large Financial Institution requirements, is preferred.

Benefits you'll love:
We offer all the important things you'd want - like competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, an employee volunteer program, and a wellness program. In addition, you'll have the opportunity to bolster your business knowledge, learning the ins and outs of how successful companies operate and manage their finances, giving you invaluable hands-on experience to help grow your career!
About the company:
Western Alliance Bank, Member FDIC, is a wholly owned subsidiary of Western Alliance Bancorporation. Serving clients nationwide, Western Alliance Bank includes six legacy bank brands - Alliance Association Bank, Alliance Bank of Arizona, Bank of Nevada, Bridge Bank, First Independent Bank and Torrey Pines Bank - that remain part of the company's heritage, as well as AmeriHome Mortgage, a Western Alliance Bank Company.
Western Alliance Bancorporation is committed to equal employment and will consider all qualified applicants without regard to race, sex, color, religion, age, nation origin, marital status, disability, protected veteran status, sexual orientation, gender identity or genetic information. Western Alliance Bancorporation is committed to working with and providing reasonable accommodations for individuals with disabilities. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process and/or need an alternative method of applying, please email HR@westernalliancebank.com or call 602-386-2488. When contacting us, please provide your contact information and state the nature of your accessibility issue. We will only respond to inquiries concerning requests that involve a reasonable accommodation in the application process.
© Western Alliance Bancorporation

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