Staff Data Engineer

The Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.

• Architect and own scalable, resilient data pipelines and platforms

• Lead design decisions for data ingestion, transformation, and storage

• Establish best practices for data modeling, testing, observability, and reliability

• Drive data quality, lineage, and governance frameworks

• Serve as a technical mentor for junior and mid-level data engineers

• Partner with analytics, product, and business stakeholders to translate needs into data solutions

• Evaluate and implement modern data tools and cloud technologies

• Lead incident response, root cause analysis, and long-term remediation

• Contribute to roadmap planning and long-term data strategy

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

• 7+ years of experience in data engineering or related roles

• Advanced SQL and strong proficiency in Python (or similar language)

• Deep experience with data warehousing and data modeling

• Proven experience designing production-grade ETL/ELT pipelines

• Strong understanding of distributed systems and data architecture

• Cloud data platforms (AWS, Azure, or GCP)

• Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)

• Data observability, monitoring, and reliability tooling

• Experience supporting analytics, BI, ML, or product data use cases

• Prior experience influencing technical strategy without direct authority