Role Overview
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.
Key Responsibilities
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
Qualifications
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
Preferred Experience
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