Data Engineer, Smarsh

• We're looking for someone who brings deep technical judgment, mentors others, and is motivated to make an impact through thoughtful, high-leverage engineering
• We're looking for a recognized subject-matter expert who operates independently, drives clarity through ambiguity, and raises the bar for those around them
• Advanced, wide-ranging experience with database systems, with the judgment to operate independently in unfamiliar or ambiguous situations
• Deep expertise designing logical and physical data models, including schema design and data relationships, at a level others rely on for direction
• A demonstrated ability to set database performance strategy by tuning queries and indexes and establishing standards that others follow
• Strong command of data security practices (encryption, access controls, auditing), with the ability to shape how the team approaches them
• A track record of independently troubleshooting complex issues in systems that require high availability, serving as an escalation point for others
• Ability to plan for data growth and scale infrastructure with the full flow of work in mind, not just the immediate ask
• The credibility and collaborative instinct to influence peers and cross-functional partners, not just execute their requests
• Strong command of modern development practices and Agile methodologies, with a voice in how the team applies them
• Ability to communicate technical direction, trade-offs, and risk clearly to stakeholders outside your immediate team
• Comfort setting a course through evolving, ambiguous requirements rather than waiting for them to be resolved
• A proactive approach to identifying and solving problems that cross team boundaries
• If you don't meet every qualification listed below, we still encourage you to apply. We value diverse experiences and perspectives. Progression to this level reflects demonstrated ability to perform as a subject-matter expert, not years of experience alone

Desirable

• As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling, and reliability decisions that keep high-velocity, compliance-critical systems performant and secure
• You'll work with SQL Server environments spanning multi-terabyte data volumes, tables with billions of rows, and sustained throughput exceeding 100,000 transactions per second
• You'll work independently through ambiguous and unfamiliar problems, set technical direction for real-time data pipelines and system performance, and act as a go-to resource for engineers across the wider organization
• Your work will directly shape how Smarsh clients meet their compliance needs through scalable, dependable data and search capabilities
• You'll partner with leaders across Product Management, Engineering, and Site Reliability, weighing a range of inputs to resolve complex challenges and influence strategy beyond your immediate team
• Serve as a subject-matter expert for database architecture and performance, guiding engineers through complex or ambiguous technical problems where established principles don't fully apply
• Set the technical approach for scalable data solutions, partnering with stakeholders across Product, Engineering, and Site Reliability to shape direction rather than simply implement it
• Drive larger, cross-functional projects from design through delivery, proactively identifying and addressing upstream and downstream impacts before they become issues
• Informally mentor other engineers, modeling sound engineering discipline and raising the technical bar for the wider team
• Shape how the team adopts modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles
• Review code and database changes with an eye for systemic risk and performance, while also leading efforts to pay down technical debt across systems
• Track emerging technologies and make the call on which are worth adopting, guiding the team's direction
• Interpret database health and performance data (Splunk, Datadog, Grafana) to proactively flag and address risk before it surfaces as an incident