Principal Data Engineer
Boldin•Mill Valley, CA
7d•$180,000 - $220,000•Remote
About The Position
The Principal Data Engineer is a senior technical authority responsible for defining Boldin’s data architecture, setting long-term technical strategy, and tackling our most complex data engineering challenges. This role shapes company-wide data standards, and partners with executive and cross-functional leaders to ensure our data platform scales with the business.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 10+ years of experience in data engineering or related disciplines
- Proficient in SQL, Python, or related languages
- Cloud Platforms (AWS, GCP)
- Strong experience with data warehouse, data lakes, and distributed systems
- Strong experience with modern data stack (e.g.,: Athena, BigQuery, Glue, Spark, Dataproc, Kafka, Flink, dbt, Kestra, Fivetran or equivalent)
- Proven ability to build and maintain production-grade ELT/ETL pipelines
- Experience with workflow orchestration (e.g., Airflow, Dagster, Prefect, Cloud Composer or equivalent)
- Experience implementing data quality and observability frameworks
- Performance and cost optimization in cloud warehouses
- Experience supporting product analytics and experimentation
- Ability to translate business requirements into scalable data models
- Strong ownership and accountability for SLAs
Nice To Haves
- Experience working with Kubernetes
- Experience structuring data for ML or AI use cases
- Familiarity with Amplitude or product event pipelines
- Experience in a high-growth SaaS or fintech environment
- Influencing technical direction without direct managerial authority.
Responsibilities
- Define and evolve long-term data architecture and vision
- Design resilient and scalable data platform and pipelines
- Set standards for data modeling, reliability, observability, and governance
- Lead complex, high-risk technical initiatives and migrations
- Influence tool selection, and technology adoption across the data stack
- Elevate engineering excellence
- Partner with leadership to align data strategy and business goals
- Enable analytics, ML, and product use cases
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What This Job Offers
Job Type
Full-time
Career Level
Senior
