Sr. Principal Engineer - Data Architecture

Job Description

We're seeking a Sr. Principal Engineer - Data Architecture to join Procore's Construction Intelligence Division. In this role, you'll drive the design and architecture of some of Procore's most significant internal and customer-facing data systems. The construction industry is transforming in response to increased demand for a more collaborative and iterative design-build process that integrates design and constructability. To support this shift, we seek a candidate who can help bridge the historical disconnects between teams and technologies that have limited the industry's ability to fully leverage the benefits of technology, including increased efficiency and trust. As part of this role, the successful candidate will be responsible for improving integration between teams and technologies in the construction industry to enable more efficient and effective project delivery.

As a Sr. Principal Engineer - Data Architecture, you'll use your expert-level technical skills to craft innovative solutions while influencing and mentoring other senior technical leaders. To be successful in this role, you're passionate about distributed systems, event-driven architecture patterns, and building highly scalable, resilient, maintainable, and performant platform capabilities with a strong bias for action and outcomes. If you're an inspirational leader comfortable translating vague problems into pragmatic solutions that open up the boundaries of technical possibilities—we'd love to hear from you!

This position will report to the VP of Engineering with the opportunity to be located at our Austin, TX, offices. Remote candidates will be considered based on experience with the expectation of occasional travel to our other offices. We're looking for someone to join our team immediately.  

What you'll do:

• Design and build streaming data products for the construction industry. 

• Collaborate with product management and other business stakeholders to understand and refine the requirements that drive the architecture of our data products.

• Collaborate with engineers and other architects to create the appropriate Stream, API, and Data contracts between systems and document the system designs.

• Collaborate with Infrastructure, Security, and Legal to ensure the data products are appropriately supported on the platform and comply with corporate and regulatory policies.

• Lead by example, create exemplars, model the behaviors, represent technical leadership and best practices for other engineers, and forge and continuously improve design patterns and best practices with customer centricity in mind.

• Work with other architects and teams to improve interactions between business software components and between the teams that own them.

• Works early and often with Product Management and other stakeholders on defining the scope and value of initiatives, helping illuminate the "art of the possible.". Likely the first engineering stakeholder on any initiative

• Create high-level product specifications and design documents; provide engineering with architectural blueprints to execute, troubleshoot and resolve issues hands-on with code/design.

What we're looking for: 

• BS degree in Computer Science, a similar technical field of study, or equivalent practical experience is required; MS or Ph.D. degree in Computer Science or a related field is preferred

• 10+ years of experience designing, building, and operating cloud-based, highly available, and scalable online data and streaming systems utilizing large, diverse data sets in production

• Expertise with data architecture, including event-driven approaches. 

• Strategic thought leader owning holistic platform architecture solutions for both functional and non-functional requirements

• Keen ability to drive by influence rather than authority via a deep knowledge of specific areas and as well as a broad view of most subjects like product vision, best practices, open standards, etc.

• Expertise with diverse data storage technologies like PostgreSQL, GraphDB, NoSQL DB, Databricks, etc.

• Expertise with diverse data processing technologies like Spark, Airflow, Flink, Databricks, etc.

• Strength in the majority of commonly used technologies and languages such as Spark, Kafka, Flink, Kubernetes, Python, Splunk, Datadog, Jenkins, AWS, or similar

• Current on new industry trends, design patterns, and designs solutions for complex systems to meet ambiguous business needs

Additional Information

Base Pay Range $199,600-$274,450. Eligible for Bonus Incentive Compensation. Eligible for Equity Compensation. Pr