Forbes Advisor seeks a Data Engineering Manager to lead a team of engineers responsible for the design, delivery, and reliability of our data platform. You will guide a squad of 10–15 engineers in building scalable, observable, and well-modeled data systems that power critical marketing, revenue, and analytics decisions. This role combines technical depth with delivery leadership to drive design, mentor engineers, and ensure high-quality releases.
What You'll Do
- Lead, mentor, and develop a high-performing data engineering squad delivering production-grade pipelines and services.
- Set technical and operational standards for quality, documentation, and reliability.
- Partner with Program Management to plan, prioritise, and track delivery against sprint goals.
- Foster a culture of ownership, engineering excellence, and continuous improvement.
- Contribute to architectural reviews and solution design in collaboration with the Director of Data Engineering.
- Ensure scalable, modular pipeline design and adherence to strong data modeling principles in dbt and BigQuery.
- Lead the transition from monolithic pipelines to microservice-based data workflows that are reusable and observable.
- Champion consistency and semantic alignment across datasets and layers (Bronze, Silver, Gold).
- Oversee implementation and optimisation of workflows in GCP (BigQuery, Cloud Composer, Cloud Functions, Vertex AI etc.).
- Drive observability, cost efficiency, and data quality through monitoring and alerting standards.
- Lead adoption of best practices in version control, CI/CD, testing, and automated QA.
- Evaluate new tools and frameworks that enhance scalability and engineering productivity.
- Translate stakeholder requirements into robust technical designs that align with marketing, analytics, and revenue goals.
- Partner closely with Analytics, BI Ops, and RevOps to deliver reliable data foundations for attribution, 1PD activation, and performance optimisation.
- Communicate progress, risks, and dependencies clearly to technical and non-technical partners.
- Review designs, pull requests, and pipelines for scalability, maintainability, and efficiency.
- Coach engineers on clean coding practices, modular design, and testing discipline.
- Embed best practices for documentation, schema governance, and dependency management.
- Model engineering-first leadership—balancing technical depth with empathy, clarity, and decisiveness.
What We're Looking For
- 10+ years of total experience in data or software engineering, including 2+ years leading teams.
- Deep expertise in SQL, Python, and modern ELT tools (dbt, Airflow/Composer).
- Strong understanding of data modeling, orchestration, and optimisation in GCP (BigQuery, GCS, Pub/Sub).
- Demonstrated experience building or scaling data pipelines for marketing, attribution, or monetisation.
- Proven ability to lead delivery within agile sprints and coordinate with cross-functional stakeholders.
- Excellent communication, prioritisation, and leadership skills in distributed teams.
Nice to Have
- Experience transitioning large-scale architectures to microservices or event-driven designs.
- Familiarity with CI/CD pipelines, observability frameworks, and cost optimisation in cloud environments.
- Exposure to machine-learning pipelines, model serving, or real-time scoring.
- Background working with marketing or product analytics data sources (Google Ads, Meta, GA4, Taboola, etc.).
Technical Stack
- SQL, Python
- dbt, Airflow/Composer
- Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Pub/Sub, Cloud Composer, Cloud Functions, Vertex AI
Team & Environment
You will lead a squad of 10–15 engineers with 3–4 direct reports and report to the Director of Data Engineering. The team is part of a remote-first, collaborative culture focused on shaping the engineering foundations of a world-class data organisation.
Benefits & Compensation
- Remote-first culture
- Flexible working hours
- Monthly long weekends
- Wellness stipend
- Generous parental leave
Work Mode
This is a remote-first position.
Forbes Advisor is an equal opportunity employer.
