London - Hybrid•New York - Hybrid
Hybrid
Senior
Full Time
💰$260,000 - $274,000
data platformtechnical leadershipregulated environmenthybrid work
Requirements
- •Significant experience designing and evolving large-scale data platforms, distributed and stream processing systems
- •Deep knowledge of real-time and event-driven architectures using technologies such as Kafka or Pub/Sub
- •A track record of leading complex technical initiatives that span multiple teams or domains
- •Experience building platform capabilities, shared services, and engineering patterns that other teams can adopt
- •Strong judgement across reliability, scalability, performance, governance, security, and cost management
- •Ability to move between high-level architectural decisions and hands-on implementation
- •Experience influencing engineers and stakeholders around shared technical standards and long-term priorities
- •A team-first approach with a passion for mentoring experienced engineers and raising the technical bar
- •Strong communication skills to make complex technical decisions clear to both technical and non-technical stakeholders
- •Experience working in a regulated environment or designing systems with strong compliance and auditability requirements
What You'll Do
- •Set and evolve the technical direction of the data platform across streaming, batch processing, warehousing, orchestration, governance, and machine learning enablement
- •Lead the design and delivery of complex, cross-team initiatives from early architectural decisions through to implementation
- •Design and build core platform capabilities, including reliable real-time pipelines, shared tooling, reusable frameworks, and scalable data infrastructure
- •Establish and champion golden paths that enable teams to build securely, consistently, and efficiently
- •Improve platform reliability, scalability, performance, and cost efficiency as data volumes and use cases grow
- •Partner with Security, Compliance, Product, and Engineering teams to ensure systems meet operational and regulatory requirements
- •Identify systemic risks, reduce unnecessary complexity, and guide pragmatic, incremental improvements to the platform
- •Strengthen engineering standards across data modelling, pipeline design, observability, testing, deployment automation, and infrastructure as code
- •Influence technical priorities and planning by working closely with engineering managers, product managers, and senior technical leaders
- •Mentor senior engineers and raise technical capability through design reviews, code reviews, documentation, and hands-on collaboration
Nice to Have
- •Experience with GCP, Pub/Sub, Kafka, Apache Beam, Bigtable, Redis, Kubernetes, Airflow, BigQuery, Terraform, Python, SQL, real-time and batch processing, data governance, quality, and observability
Benefits
- •Competitive salary package
- •Equity package with employee ownership
- •Pay-for-performance equity bonus
- •Moonshot award with $250,000 equity grant
- •Pension with employer contributions from day one
- •Employee referral program with $10K in USDC
- •Flexible Time Off
- •Birthday leave
- •Enhanced parental leave
- •Hybrid working schedule with remote or office options
- •Commuter benefits
- •Private healthcare benefits
- •Wellhub wellness membership
- •Unlimited enterprise access to latest AI tools
- •Lunch credit on office days
- •Home office setup allowance
- •Remote working allowance
- •Monthly product budget and zero-fee crypto transactions
- •$1,000 annual training budget
- •High Potential Program with development and mentorship
- •Regular remote company offsites
- •Cycle to Work scheme (Ireland)
- •EV Salary Sacrifice (UK)
