Head of Data Architecture and Engineering

Our data platform is the nerve centre of the entire organisation, it’s how we understand and steer our business, and it mediates how departments communicate with each other. With massive event volumes, over 1,000 travel providers, plus a host of other third parties, there is a real richness and variety of data to work with; consolidating, aggregating and standardising ready for fast delivery to our teams, our customers and our partners.

The role of Head of Data Architecture and Engineering is a key strategic position within the data tribe. You will be responsible for designing, building and maintaining our pipelines and warehouses / lake houses; tracking data quality and health; ensuring appropriate availability and latency for our data products; and the backbone infrastructure of our semantic and data governance layers.

You will also be leading a small team of engineers and architects and working closely with the VP Data and Analytics to deliver on the roadmap for our data strategy. Beyond that, your excellent technical skills will be applied all across the data stack as you contribute to best practices in everything we do. You would expect to be spending more than 50% of your time in hands-on technical work.

• Lead the Architecture and Engineering function, managing the team, dealing with workload management, performance and personal development.
• Design and build highly-scalable data models establishing a coherent, single-source of truth for Omio data.
• Establish governance processes around access control and reference- and master- data management.
• Manage our data pipelines and data quality infrastructure, ensuring high accuracy and low latency.
• Work closely with upstream and downstream providers and consumers of data, building strong relationships and ensuring strong links across the business.
• Work with Analytics Engineers to define and establish non-functional requirements for production data products.
• Manage our GCP estate, tracking usage and costs.
• Be a strong thought leader, bringing a balanced view on new trends and technologies that may be of use to Omio.
• Own the data tool stack, ensuring high productivity and a great developer experience for all our data practitioners.

Requirements

The ideal profile for this role will be someone who:

• Has extensive experience of delivering complex data architectures within GCP
• Has deep knowledge of multiple approaches to data modelling across relational and non-relational approaches.
• Demonstrates a clear understanding of the challenges and opportunities of working with very large, volatile and heterogeneous datasets.
• Is able to communicate complex technical concepts in simple terms, to build consensus and bring people with you.
• Are fluent in English; additional languages are always valued at Omio
• Is a team player with excellent communication and stakeholder management skills
• Has a solution oriented approach to problem solving
• Key technologies: GCP (BigQuery, Looker, Airflow, dbt, Docker, SQL, Python, Terraform)
• Experience in large-scale data processing with Apache Spark or similar technologies, and proficiency in Scala, Java, or Python