Why This Job is Featured on The SaaS Jobs
This Director of Engineering remit sits at a core SaaS leverage point: communications and data capture that feeds the rest of the product. Owning ingestion, pipelines, and integrations means shaping how external systems connect to the platform and how reliably data becomes usable for analytics, product functionality, and AI-oriented workloads. The hybrid setup in Dublin also signals a role anchored in close cross-functional execution across Product, Data, and Infrastructure.
From a SaaS career perspective, the work builds durable platform leadership experience. Steering architecture for event-driven and batch systems, setting SLAs, and improving observability and testing are the kinds of operational disciplines that translate across subscription businesses where reliability and data quality directly affect retention and expansion. The scope also strengthens the ability to connect technical roadmaps to business outcomes, a key differentiator for senior engineering leaders in SaaS.
This role best fits an engineering leader who enjoys systems thinking and enabling other teams through robust internal platforms. It suits someone comfortable managing managers, balancing hands-on architectural guidance with delegation, and navigating trade-offs across governance, security, and developer productivity. Interest in integration ecosystems and high-volume data movement will align particularly well with the day-to-day focus.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
We are looking for a Director of Engineering to lead our Communications/Data Capture and Integration teams. This role is responsible for building and scaling the systems that ingest, process, and integrate data from diverse sources into our platform. You will play a critical role in shaping our data strategy, ensuring reliability at scale, and enabling downstream analytics, product features, and AI capabilities.
This is a highly cross-functional leadership position, partnering with Product, Data, Infrastructure, and GTM teams to deliver high-quality, scalable data solutions.
Please note: We work on a hyrbid basis of 3 days per week in our Dame St. Office.
What You’ll Do
- Lead and grow engineering teams responsible for data ingestion, pipelines, and integrations (APIs, streaming, batch, third-party systems).
- Define technical strategy and roadmap for data capture, ingestion, and integration platforms.
- Drive scalability and reliability, ensuring systems can handle high-volume, real-time data with strong SLAs.
- Partner with Product and Data leaders to align on priorities, use cases, and delivery timelines.
- Own architecture decisions across data pipelines, integration frameworks, and event-driven systems.
- Improve developer productivity through better tooling, frameworks, and platform capabilities.
- Ensure data quality, governance, and security across all ingestion and integration points.
- Hire, mentor, and develop engineering managers and senior engineers, building a high-performing organization.
- Establish best practices for observability, testing, and operational excellence.
What We’re Looking For
Leadership & Experience
- 8+ years in software engineering, with 3+ years in engineering leadership (managing managers).
- Proven experience leading teams focused on data platforms, ingestion, or integrations.
- Track record of scaling teams and systems in high-growth environments.
Technical Expertise
- Strong background in distributed systems and data pipelines (streaming and batch).
- Experience with technologies such as Kafka, Spark, Flink, Airflow, or similar.
- Deep understanding of API design, event-driven architecture, and data modeling.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Experience building integration platforms (e.g., connectors, SDKs, partner ecosystems) is a strong plus.
Collaboration & Mindset
- Strong cross-functional partner with Product, Data, and Business teams.
- Strategic thinker who can connect technical decisions to business impact.
- Hands-on enough to guide architecture while empowering teams to execute.
- Passionate about building inclusive, high-performing engineering cultures.
Nice to Have
- Experience in SaaS, data-heavy products, or AI/ML-driven platforms.
- Background in customer-facing integrations (CRM, data warehouses, third-party APIs).
- Exposure to data privacy, compliance, and governance frameworks
