Data Architecture & Engineering Mgr. (m/f/d)

About the Role

At Omio, 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.

Please ONLY APPLY if you can work in our Berlin office 2-3days a week and are currently in Germany or Europe.

The role will be responsible for designing, building and maintaining our pipelines and data warehouses/data-lakes; 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.

This is a hands on technical role but will also be leading a small team of 2 (an engineer and architect - both in Berlin) and working closely with the VP Data and Analytics to deliver on the roadmap for our data strategy.

You would expect to be spending more than 50% of your time in hands-on technical work, with 30% requirements gathering and 20% managerial.

Responsibilities

• 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.
• Lead the Architecture and Engineering function, managing the team, dealing with workload management, performance and personal development.
• 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.
• Own the data tool stack, ensuring high productivity and a great developer experience.

Ideal Profile

The ideal profile for this role will be someone who:

• Has extensive experience of delivering complex data architectures, ideally within within GCP, but other Cloud platforms will work.
• 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.