Sr Staff Engineer, Data Infrastructure

Archer56; San Jose (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

Archer56, based in San Jose, California, seeks a Data Architecture Engineer to build and maintain the "Data Backbone" for our innovative aerospace projects. This role involves architecting high-throughput data tools, ensuring reliable data infrastructure and enabling streamlined workflows for AI and ML teams.

The ideal candidate thrives in ambiguity and possesses strong automation skills across a variety of data tools. Join us in pursuing sustainable air mobility while ensuring a diverse and inclusive workplace.

Qualifications

• Experience scaling data tools in complex environments.
• Demonstrated leadership in managing outages and automation.
• Comfortable developing automation scripts in Go or Python.

Responsibilities

• Architect and manage high-throughput data tools lifecycle.
• Drive automation using ArgoCD and Terraform.
• Build monitoring systems for pipeline health and system performance.

Skills

Kubernetes Expertise

Data Engineering

Python Programming

Go Programming

Automation

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Trino

Ray

Terraform

ArgoCD

MLflow

Vector

VictoriaMetrics

Job description

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.

Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self‑service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high‑throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero‑manual‑touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high‑cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self‑starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure‑level optimizations.
• Reliability: Participate in on‑call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

• Orchestration: Kubernetes Expert (Scheduling, Affinity, Local NVMe, Resource Quotas).
• Data Compute: Deep experience with Trino (Presto) and Ray (Head/Worker patterns).
• Stream & Logs: High‑performance routing via Vector and monitoring with VictoriaMetrics.
• AI/ML Tooling: MLflow and JupyterHub (Zero‑to‑JupyterHub on K8s).
• Code & Deploy: Terraform (Advanced modules) and ArgoCD (ApplicationSets/Blue-Green).

Qualifications

• The "Data‑Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on‑call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self‑Directed: You thrive in ambiguity. You can take a high‑level requirement ("Make Trino faster") and turn it into a multi‑week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Archer is an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at [e-mail]. Reasonable accommodations will be determined on a case‑by‑case basis.

Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.

Archer is unable to provide work visa sponsorship for this position at the present time.