Senior Data Platform Engineer

VIA • Somerville, MA

10d • $145,000 - $190,000 • Hybrid

About The Position

As a Senior Data Platform Engineer at VIA, you'll bring together core data engineering skills with an interest in the DevOps 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, DevOps, 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.

Requirements

• 5+ years of experience in a data-driven role
• Bachelor’s or Master's degree in science, mathematics, engineering, or a data-driven field
• A strong foundation in Python (or equivalent) for scripting, automation, and tooling across the data platform
• Proven experience architecting scalable relational and non-relational (SQL/NoSQL) schemas
• Expertise in maximizing system performance through advanced query tuning, strategic indexing, and execution plan analysis to eliminate technical bottlenecks
• 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
• Working knowledge of container build and orchestration tools (e.g., Kubernetes, Docker), and container-level observability (e.g., resource allocation, cluster health, container insights)
• Experience building resilient pipelines using frameworks such as Dagster or Apache Airflow
• A strong understanding of how data infrastructure integrates into the broader application architecture
• Experience with modern software development practices, including version control (Git), CI/CD pipelines, and infrastructure-as-code, with a demonstrated track record of deploying production systems

Nice To Haves

• Self-motivated and passionate about leaving everything they touch better than how they found it
• Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work
• Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
• People who lead discussions with curiosity and value diverse perspectives
• Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
• Strong team players who thrive in collaborative environments and celebrate the success of others

Responsibilities

• 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

Benefits

• Competitive benefits
• Flexible work options
• Individualized mentoring and growth opportunities
• Salary range of $145,000 - $190,000 USD per year
• 401K plan with up to 5% employer contribution
• A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
• Up to 24 weeks paid parental leave
• A 4-week paid ramp-back program
• $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
• Flexible Vacation Policy with no set annual limit or accrual period
• Summer Fridays
• Extended holiday period in December
• Flexibility to work from home as needed
• Access to three well-located offices, designed for collaboration and stocked with everything you could need
• Opportunities to work remotely from eligible locations for up to 2 months per year
• Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA’s unrivaled leadership program
• A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA
• Benefits to support commuting costs
• In-person events to foster team bonding and collaboration across different teams

What This Job Offers

• Job Type: Full-time
• Career Level: Senior