Lead Data EngineerMentor Talent Acquisition • San Francisco Bay Area, United States
Lead Data Engineer
Mentor Talent Acquisition • San Francisco Bay Area, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Strong technical foundation with the modern data engineering stack (dbt, PySpark, Fivetran, Snowflake, Lakehouse, CDPs, ETL tools, etc.). Advanced knowledge of SQL and Python. Deep expertise in data pipelines, distributed systems, and analytics infrastructure. Hands-on experience with data warehousing technologies, data lake architecture, and ETL pipelines / tools. Deep understanding of BI tooling infrastructure and semantic layer design (e.g., Looker, Tableau, Metabase, Mode). Experience and interest in leading major architecture initiatives from the ground up. Believer in applying best-in-class software engineering practices to data systems. Interest in coaching / mentoring junior engineers. Experience building data products that meet HIPAA requirements. Built platforms that support real-time and batch ML / AI products and systems. Experience integrating EHR and other complex third-party system data.
We’re looking for a Lead Data Engineer to spearhead the design, implementation, and iteration of a world-class, modern data infrastructure that powers analytics, data science, and ML / AI systems. You will be in the driver’s seat for a new function on the Engineering team and will help chart its future.
This role is highly strategic, cross-functional, and hands-on. If you’re passionate about building 0→1 data platforms collaboratively and have experience scaling them at a rapidly growing startup , this role is for you.
What you will do
- Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization.
- Partner closely with Data Science, Operations Analytics, Engineering, and Product on the design and implementation of scalable data pipelines, models, and solutions.
- Drive the development of foundational data products and tools to power self-service analytics.
- Actively contribute to and influence engineering processes, culture, practices, and systems.
- Serve as a technical thought leader on data engineering best practices.
About you
Bonus points
For more info or to apply please share your resume to gjurgjica@mentortalent.ie.
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