Staff Data Engineer

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

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