Senior Manager

Job Description

What if you could use your technology skills to develop a product that impacts the way communities' hospitals, homes, sports stadiums, and schools across the world are built? Construction impacts the lives of nearly everyone in the world, and yet it's also one of the world's least digitized industries, not to mention one of the most dangerous. That's why we're looking for a talented Sr Manager, Data Engineering to join Procore's journey to revolutionize a historically underserved industry.

As Sr Manager, Data Engineering you'll lead a group of Data Engineers to build a data platform to provide all capabilities related to transporting, transforming and processing data-in-motion and deliver and maintain reliable data stores.

This is a high-visibility role that requires excellence in both strategic and technical skills. If you're a driven individual excited by the opportunity to work alongside a team of passionate engineers to create Procore's next generation of data products and capabilities-apply today.

This position will report into the Sr Director , Data Engineering Procore Data Platform - DTS, and has the opportunity to be based in our Carpinteria, CA /Austin, TX or Remote. We're looking for someone to join us immediately.

What you'll do:

Define, prioritize, and implement a comprehensive MDM strategy and operating model, transforming how data is sourced, managed, standardized, governed, and consumed

Provide thought leadership, pragmatic input, and detailed requirements in building the target state MDM capabilities to support a variety of business models

Build relationships with stakeholders and work cross-functionally to identify areas of opportunities, process improvements, and data/technology-enabled innovations to define our data orchestration framework

Lead the MDM Product roadmap and bring "greenfield" thinking to improve master data and drive operational transformation and innovation

Participate in the design and implementation of our next generation data pipelines/platforms for the construction industry

Actively collaborate with our engineering teams in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support

Lead technical design of solutions for data teams to build new data services and products for internal stakeholders

Work alongside our Product, Revenue, Finance and other internal teams, leveraging your experience and expertise in the data space to influence our product roadmap, developing innovative solutions that add additional capabilities to our tools

Help uplevel teammates by conducting code reviews, providing mentorship, pairing, and training opportunities

Performance tune and monitor data infrastructure to support a growing organization.

Develop data infrastructure that ingest and transforms data from different sources and customers at scale.

Partner end-to-end with Business Managers, Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production

Work with internal business leaders to ingest data to enrich their data modeling and work products.

Participate in conversations with your business teams about business impacting topics and brainstorm innovative ways to transform data into information and knowledge that drives revenue and reduces cost.

Influence cross team/matrix organization, provide technical guidance and mentorship to team members

What we're looking for:

BS degree in Computer Science, Management Information systems or a similar technical field of study, or equivalent practical experience is required

7+ years of industry experience in data engineering and data pipeline operation or related fields

Robust experience with Relational Database Systems and SQL

Extensive experience designing, developing, and implementing ETL

Strong track record of leading teams and projects across many disciplines including data warehousing, business intelligence, application development, operations

Familiarity with database modeling, data warehousing principles; Strength in commonly used data technologies and languages such as Java or Scala or Python, Spark

Experience fostering a strong engineering culture in an agile environment

Demonstrated ability to manage multiple projects and priorities

Excellent presentation skills; ability to distill complex analysis and concepts into concise business-focused takeaways