Senior Technical Program Manager, Construction Technology Data Lead

About the role

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Responsibilities

• Design, build, and optimize automated workflows for construction technology and AEC software utilization in Data center Design and construction
• Build ETL and ELT pipelines to move data from various source systems into centralized cloud repositories
• Architect and maintain high-performance cloud data warehouses and lake houses, ensuring efficient database schema design and cost-effective storage
• Implement digital delivery strategy for faster and efficient data center build
• Develop data quality frameworks, automated validation checks, and strict security controls to ensure data trustworthiness and regulatory compliance
• Manage complex data dependencies using workflow orchestration tools like Apache Airflow
• Deploy proactive system monitoring and alerting
• Collaborate with Data Analysts and Scientists to build pre-aggregated data models and feature stores that accelerate business intelligence and model deployment

Requirements

• Bachelor's degree in Engineering, a related quantitative field, or equivalent practical experience
• 8 years of experience in data engineering, building and maintaining production-grade ETL/ELT pipelines
• 5 years of experience with SQL including window functions, query, and data modeling
• 3 years of experience with programming languages such as Python, Java, or Scala, along with experience with BigQuery and dashboarding tools for analysis insight

Qualifications

• Master's degree in Computer Science or a relevant engineering discipline
• Advanced experience architecting solutions in cloud environments like Google Cloud
• Experience with AI tools and large-scale data governance frameworks for security and compliance
• Proficiency with workflow orchestrators like Apache Airflow and modern transformation tools like dbt
• Strong understanding of DevOps practices including Git, Docker, Kubernetes, and automated CI/CD pipelines

Skills

• Technical expertise in data engineering and pipeline management
• Experience with cloud environments and data warehousing
• Ability to manage complex data dependencies and implement digital delivery strategies
• Knowledge of AI tools and data governance frameworks
• Experience with workflow orchestration and automation tools
• Strong understanding of DevOps practices and tools

Benefits

Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Pay

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Schedule

Not specified