Principal Data Engineer

Please read before applying : We review every application carefully, and all fields (including the required 60–90 second video) must be fully completed and relevant; applications that are incomplete or use AI-generated responses will not be considered. If you're unable to meet these requirements, we kindly ask that you refrain from applying. Full-time • Remote About the Role 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. Key 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 KPIS + Targets Uptime: Consistently meets SLA for business-critical pipelines Freshness: All Tier 1 datasets delivered within SLA Delivery predictability: Majority of sprint commitments completed as planned Cost optimization: Year-over-year efficiency improvement as data scales Documentation: Full coverage for all production-grade assets Qualifications Technical Skills 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 Product & Business Partnership Experience supporting product analytics and experimentation Ability to translate business requirements into scalable data models Strong ownership and accountability for SLAs Nice to Have 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 Salary Range $180,000 - $220,000/annual DOE We want to be as inclusive as possible in our hiring process. If you don't have 100% of what we're looking for, but feel like you're pretty close to growing into the role — please still apply. If a candidate has only 80% of the skills but a fantastic attitude and perspective, they might be the perfect fit. Boldin values the unique perspectives and contributions of all individuals and we strive to foster a diverse and inclusive culture. We encourage applications from individuals of all backgrounds, including and not limited to people of any race, ethnicity, or national origin, individuals with differing abilities, members of the LGBTQ+ community, veterans, gender minorities, women and people from underrepresented communities. We are committed to providing reasonable accommodations for applicants with differing abilities throughout the recruitment process. If you require any accommodations, please let us know, and we will work with you to meet your needs. We are committed to fostering an environment where everyone can bring their authentic selves to work. If you are comfortable doing so we invite you to share your preferred pronouns in your application. J-18808-Ljbffr