Director of Engineering, Data Platform

Location: Raleigh, North Carolina; hybrid model with in-office work 3 days per week.

Salary: USD $235,000–$280,000 for the role performed in North Carolina.

Company

hirify.global is a SaaS company founded in 2013 that develops software focused on helping organizations understand and improve product success.

What you will do

• Lead multiple engineering teams responsible for real-time data ingestion, analytics batch pipelines, and the analytics query engine.
• Set technical direction and roadmap while balancing delivery, scalability, reliability, and cost efficiency.
• Drive architectural decisions across storage, compute, data modeling, databases, cloud services, and messaging systems.
• Own instrumentation standards across the codebase, including structured logging, OpenTelemetry metrics, and tracing.
• Manage the platform cost profile at petabyte scale, including forecasting, customer and product attribution, cost modeling, and overrun diagnosis.
• Partner with SRE on on-call responsibilities, incident response, postmortems, reliability roadmaps, and SLOs; communicate with customers about performance, data integrity, and reliability; hire and develop engineering managers and senior engineers.

Requirements

• Several years of engineering management experience, including managing managers or multiple teams, with a record of building high-performing teams in a high-growth SaaS environment.
• Experience building and operating large-scale, data-intensive distributed systems in production, ideally at a scale comparable to 50B+ events per day and petabyte-level data management.
• Strong experience with real-time data ingestion, batch processing, and analytics or query systems.
• Demonstrated infrastructure-scale cost and financial acumen, including forecasting, optimization, attribution, overrun diagnosis, cost modeling, and communication with technical and financial stakeholders.
• Deep experience with relational SQL, document NoSQL, columnar, and vector database technologies.
• Hands-on experience with multiple cloud platforms, including GCP, AWS, and Azure, as well as object storage and managed data services; deep GCP experience is especially valuable.
• Experience with message queuing and streaming systems such as Pub/Sub, Kafka, or SQS; caching technologies such as Redis, Valkey, or memcache; and containerized workloads on Kubernetes at scale.
• Working knowledge of observability practices and tooling, ideally including OpenTelemetry, plus comfort reading, reviewing, and contributing to Go code.
• Ability to communicate credibly with customers, executives, and engineers about performance tradeoffs, consistency guarantees, and reliability commitments, with sound judgment in ambiguous situations.

Nice to have

• Experience with high-cardinality, high-volume event or telemetry data.
• Background in multi-tenant SaaS platforms.
• Familiarity with FinOps practices and cloud billing data, including tagging, labeling, and usage-based cost attribution.
• Contributions to open-source projects in the data or observability ecosystem.
• Hands-on experience with Firestore or a similar technology.

Culture & Benefits

• Culture centered on Bias to Act, Hone Your Craft, The Team is hirify.global, and Maniacal Focus.
• Hybrid work in the Raleigh office with three in-office days per week.
• Employer-heavy benefits coverage, including $0 premium options.
• Strong 401(k) match, equity, and flexible time off.
• Commitment to equal opportunity, diversity, accessibility, and reasonable accommodation.