Senior Data Platform Engineer

VIA is making an impact, and so can you.

Headquartered in Boston, Massachusetts, VIA is a mission-critical software company that enables organizations to share and analyze sensitive data at speed without compromising security or control. VIA’s decentralized architecture keeps data sovereign, while its agentic AI helps organizations solve critical challenges, and its military-grade security governs access. Designed for simplicity, rapid deployment, and disconnected environments, VIA makes sensitive data usable wherever the mission happens, even offline.

The Department of War, Fortune 50 companies, and critical infrastructure companies around the globe trust VIA to help them solve their toughest analytics and digital security challenges. Learn more:

An impressive mission requires an equally impressive Senior Data Platform Engineer.

As a Senior Data Platform Engineer at VIA, you'll bring together core data engineering skills with an interest in the Dev Ops side of things:
Kubernetes, container insights, and resource allocation, alongside a solid understanding of our application logic, database queries, and data pipeline orchestration. Your day-to-day will include supporting application workflows and pipeline reliability, and helping us stay ahead of the scaling and observability challenges that come with growth.

You will build the foundation that empowers our customers to harness AI for human-centric, data-driven decision-making. You will work cross-functionally with a high-performing team of data professionals, developers, Dev Ops, and Client Delivery specialists who are already pushing the boundaries of what's possible with AI.

Individuals who excel in this role are motivated by solving complex data infrastructure and reliability challenges, holding a high bar for pipeline observability and system performance, and enjoy operating at the intersection of application logic and infrastructure. Are you ready to join us?

Read more about our mission, team, and values here.

In this role, you will:

• Architect & provision secure data infrastructure: Design, provision, and maintain cloud-based data storage and platform infrastructure using infrastructure-as-code (e.g., Terraform, Helm), optimizing schemas for multi-tenant environments while ensuring security and a high standard of trust and transparency
• Engineer and deploy data pipelines: Develop, deploy, and maintain resilient pipelines for both real-time streaming and batch processing, with deployment (CI/CD, IaC) as a top priority, ensuring seamless data flow from raw ingestion to production-ready applications
• Monitor and optimize infrastructure: Build monitoring and alerting systems to track data health and system performance, proactively identifying and remediating bottlenecks
• Support application workflows: Partner directly with the application team to troubleshoot database queries, pipeline logic, and data-related application issues as they come up
• Drive data governance and best practices: Contribute across teams to recommend tools, processes, and best practices for maintaining data health, integrity, and security
• Operationalize AI models: Support AI operations (MLOps) by managing versioning, containerization, and deployment of AI models

What you will bring to this role:

• Experience: 5+ years of experience in a data-driven role
• Education: Bachelor’s or Master's degree in science, mathematics, engineering, or a data-driven field
• Core engineering: A strong foundation in Python (or equivalent) for scripting, automation, and tooling across the data platform
• Data architecture: Proven experience architecting scalable relational and non-relational (SQL/No
  
  SQL) schemas
• Performance engineering: Expertise in maximizing system performance through advanced query tuning, strategic indexing, and execution plan analysis to eliminate technical bottlenecks
• Cloud & platform infrastructure: Hands‑on experience with AWS data services (e.g., RDS, Aurora, Lambda) or Azure equivalents, plus infrastructure‑as‑code (Terraform and/or Helm) for provisioning and deploying data infrastructure
• Container orchestration & monitoring: Working knowledge of container build and orchestration…