Position Purpose:

The Principal Software Engineer for Enterprise Data Warehouse and Data Engineering will join a high-performing product team to design, develop, and manage robust data solutions that drive business value. This role emphasizes expertise in Google BigQuery, AtScale data product development, advanced data engineering, data architecture, and modern data pipelining.

A core responsibility is to architect and implement scalable, reusable code and frameworks, as well as maintain clear architectural diagrams and documentation specific to enterprise data systems. The Principal Software Engineer will establish service-level objectives for data products, manage configurations, conduct performance optimization and rigorous testing, and oversee production monitoring to ensure reliability and scalability.

In this role, the Principal Software Engineer is the go-to technical expert for Google BigQuery and AtScale-centric data environments, offering mentorship and guidance to more junior engineers on the team. Demonstrating a deep understanding of modern enterprise data architecture and engineering, they will help the team deliver innovative, high-impact solutions across the data lifecycle.

Key Responsibilities:

• 70% Delivery & Execution
• Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
• Documents, reviews and ensures that all quality and change control standards are met
• Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
• Writes custom code or scripts to do \"destructive testing\" to ensure adequate resiliency in production
• Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
• Contributes to enterprise-wide tools to drive destructive testing, automation, or engineering empowerment
• Identifies product enhancements (client-facing or technical) to create a better experience for the end users
• Identifies unsecured code areas and implements fixes as they are discovered with or without tooling
• Identifies, implements, and shares technical solutions that can be used across the organization
• Creates and architects foundational code elements that can be reused many times by a product
• Creates meaningful architecture diagrams and other documentation needed for security reviews or other interested parties
• Defines Service Level Objectives for product to constantly measure their reliability in production and help prioritize backlog work
• 20% Support & Enablement:
• Fields questions from other product teams or support teams
• Monitors tools and participates in conversations to encourage collaboration across product teams
• Provides application support for software running in production
• Proactively monitors production Service Level Objectives for products
• Works with vendors and the open-source community to help identify and implement feature enhancements in software products
• Works with other product teams to create API specifications and contracts for shared data
• Proactively reviews the performance and capacity of all aspects of production: code, infrastructure, data, and message processing
• Triages high priority issues and outages as they arise
• 10% Learning:
• Participates in and leads learning activities around modern software design and development core practices (communities of practice)
• Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
• Attends conferences and learns how to apply new technologies where appropriate

• Typically reports to the Software Engineer Manager or Sr. Manager, Technology Director or Sr. Director.

• Typically requires overnight travel less than 10% of the time.

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Mastery of an object oriented programming language (preferably Java)
• Must be legally permitted to work in the United States

• 6-8 years of experience in data engineering, data architecture, or enterprise data warehousing roles.
• Extensive hands-on expertise with Google BigQuery, including SQL development, performance tuning, optimization, and administration.
• Proven experience designing, building, and maintaining scalable data pipelines and ETL workflows within cloud environments.
• Advanced skills with AtScale or other modern semantic data modeling, data products, or OLAP platforms.
• Strong proficiency in enterprise data modeling, architecture best practices, and building reliable, high-availability data solutions.
• Advanced programming skills in a modern scripting language (preferably Python).
• Experience with modern version control (e.g., Git), CI/CD automation, and cloud platform services.
• Demonstrated ability to optimize data workflows for both performance and cost efficiency.
• Track record of mentoring junior engineers and leading technical solutioning in cross-functional teams.
• Strong analytical, troubleshooting, and documentation skills within large-scale data ecosystems.

• The knowledge, skills and abilities typically acquired through the completion of a bachelor\'s degree program or equivalent degree in a field of study related to the job.

• No additional education

• 6

• No additional years of experience

• None

• None

• None

• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm
• Business Insight: Applying knowledge of business and the marketplace to advance the organization\'s goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Cultivates Innovation: Creating new and better ways for the organization to be successful
• Drives Results: Consistently achieving results, even under tough circumstances
• Global Perspective: Taking a broad view when approaching issues; using a global lens
• Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
• Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
• Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
• Optimizes Work Processes: Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
• Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations