Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
Core Experience: 10+ years in data engineering and enterprise architecture, with 5+ years of direct people management experience leading agile engineering teams
Deep GCP Mastery: 4+ years of hands-on experience designing and building production data solutions natively on Google Cloud (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow, Dataproc, Cloud Storage)
Generative AI & Modern Stack Skills: Advanced proficiency in SQL and Python. Practical experience deploying data pipelines for LLMs, vector search indexing, and GenAI workflows alongside frameworks like Apache Beam, PySpark, and NoSQL databases
Architectural Expertise: Proven track record in modern data modeling, ELT/ETL pipeline architecture, real-time streaming processing, and building Medallion/Lakehouse architectures on cloud
DevOps & Governance: Strong understanding of Terraform for GCP infrastructure, CI/CD pipelines, and enterprise data security practices (IAM, KMS, Knowledge Catalog governance)
Client Engagement & Business Acumen: Exceptional presentation, consultative, and stakeholder management skills—with a demonstrated ability to translate quantitative insights and AI capabilities into strategic business outcomes
Certifications: Google Cloud Professional Data Engineer certification is strongly preferred
$165,000 - $195,000 a year
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels
Benefits available to eligible employees include the following
Medical, dental, vision
Tax-advantaged health care accounts
Financial and income protection benefits
Paid time off (PTO) and wellness time off
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early