Enterprise Data Platform Architect: AI & Analytics

Procore Technologies; Austin (TX); On-site; USD 233,000 - 321,000; Full time

Benefits offered by this job

Equity Compensation

Bonus Incentive Compensation

Job summary

Procore Technologies is seeking an Architect, Enterprise Data to own the end-to-end architecture of our enterprise data platform, spanning ingestion, warehousing, analytics, data science/ML, and AI agents. This hands-on IC role writes production code and builds reference implementations.

Based in Austin, TX, you will partner with business and technical leaders, drive the AI strategy, establish data quality and governance standards, and shape the roadmap around business outcomes, including data

Qualifications

• 15+ years of experience in data engineering, data architecture, or software engineering, including enterprise-scale data platforms.
• Deep hands-on experience with Snowflake and/or Databricks, including performance tuning, cost optimization, and security model design.
• Strong proficiency in SQL and Python, and hands-on experience with Fivetran, dbt, Airflow, and Census (or similar tools).
• Proven track record in data warehouse development, including dimensional modeling and building governed data models and semantic layers.
• A track record of enabling self-service analytics and increasing data adoption among non-technical business users, with measurable impact on decision speed or business outcomes.
• Experience building and shipping AI/LLM-powered applications or agents that business users adopt, plus experience supporting ML workloads.
• Experience leading data integration for M&A or other large-scale platform consolidations.
• Demonstrated ability to lead senior engineers and align technical and business stakeholders without direct authority, with excellent communication skills

Responsibilities

• Own the end-to-end architecture of Procore's enterprise data platform across ingestion, warehousing, analytics, data science/ML, and reverse ETL designed so business stakeholders can get from question to trusted answer quickly.
• Lead the platform AI strategy for enterprise data, enabling us to build agents and natural-language interfaces that let business users explore data, automate routine analysis, and move from insight to action.
• Build self-service capabilities, including a governed semantic layer and certified data sources, that put data directly in the hands of business teams and reduce dependence on engineering.
• Act as a force multiplier by creating reusable patterns, templates, and golden paths that help engineers and analysts across the company deliver more.
• Contribute hands-on to building the platform: write production code, build proofs of concept, and prove out new approaches before scaling them.
• Own the data platform strategy for M&A, from assessing acquired companies' data landscapes to leading integration into the enterprise platform.
• Establish standards for data quality, testing, governance, observability, and cost efficiency so stakeholders can trust and act on the data, partnering with Security and Legal on privacy and compliance.
• Partner with Enterprise Technology, Enterprise Analytics & Reporting, and business leaders to shape the data platform roadmap around business outcomes, and provide technical leadership to senior engineers through design reviews and mentorship

Skills

Data architecture

Enterprise data

SQL

Python

Self-service analytics

Leadership

AI/ML workloads

Data integration

M&A data integration

Tools

Snowflake

Databricks

Fivetran

dbt

Airflow

Census

Job description

Procore Technologies is seeking an Architect, Enterprise Data to own the end-to-end architecture of our enterprise data platform, spanning ingestion, warehousing, analytics, data science/ML, and AI agents. This hands-on IC role writes production code and builds reference implementations.

Based in Austin, TX, you will partner with business and technical leaders, drive the AI strategy, establish data quality and governance standards, and shape the roadmap around business outcomes, including data