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