STAFF DATA ENGINEER
Skills
About the role
This is a senior/staff-level data engineering leadership role driving enterprise data architecture and AI-powered initiatives, recruited by Harnham and fully remote within the US. It suits an experienced data engineer who blends hands-on pipeline work with architecture ownership and cross-functional influence. The role spans multiple business units, combining engineering with data strategy leadership.
What you’ll do
- Drive enterprise data architecture and scalable data platforms across business units
- Build large-scale batch and streaming data pipelines
- Influence data strategy, architecture standards, and cross-functional collaboration
- Provide technical leadership, mentorship, and architecture ownership
What they’re looking for
- 8+ years in Data Engineering, Data Architecture, or a related field
- Strong experience with Snowflake, BigQuery, or similar cloud data platforms
- Expertise building large-scale batch and streaming data pipelines
- Python, data architecture, and distributed data systems experience
- Background with AI/ML, LLMs, or production AI solutions
- Proven technical leadership, mentorship, and architecture ownership
- Must be authorized to work in the US (GC or USC only)
Nice to have
- Experience with Kafka, Spark, Airflow, or Kubernetes
What’s on offer
- Salary range $215,000-$245,000
- Base pay up to $220,000 mentioned in the summary line
- Fully remote within the US
Questions about this role
Is this role remote?
Yes, it's fully remote within the US.
How much does it pay?
The listed range is $215,000 to $245,000 per year.
How many years of experience do I need?
8 or more years in Data Engineering, Data Architecture, or a related field.
Do I need work authorization?
Yes, the posting requires a Green Card or US citizenship.
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