Head of Data @ Cenosco

Your profile We are looking for a <strong>Head of Data</strong> to lead the strategy, architecture, and execution of our unified data platform. As our data footprint grows across on-premises infrastructure, VPCs, and our own SaaS instances, we need a leader who can first help build the strategy to bring it all together and then get their hands dirty executing on it. <br><br>You will own the vision for how we collect, organize, govern, and leverage our data assets, so that we can productionise them and provide insights to our customers that they could not get anywhere else. You'll build and lead a small but growing team of Data and Database Engineers and work cross-functionally with your teammates from Product Technology, and the rest of business, to turn raw data into strategic value. <br><br><h4><strong>What You'll Do </strong></h4><ul><li><span><span>Define and execute the company's </span></span><span><span><strong>data platform strategy</strong></span></span><span><span>, with a focus on unifying disparate data sources into a scalable, reliable data lake /</span><span>lakehouse </span><span>architecture</span></span></li><li><span><span>Architect and <strong>oversee the build</strong> </span></span><span><span>of a unified data platform spanning on-prem, cloud, and customer-side environments</span></span></li><li><span><span>Evaluate, select, and implement the right tools and platforms (e.g.,</span></span><span><span><strong>Snowflake</strong></span></span><span><span><strong>, </strong></span></span><span><span><strong>DB2</strong></span></span><span><span><strong>, </strong></span></span><span><span><strong>dbt</strong></span></span><span><span><strong>, </strong></span></span><span><span><strong>Airflow </strong></span></span><span><span><strong>or equivalent</strong></span></span><span><span>)</span></span></li><li><span><span><strong>Stay </strong></span></span><span><span><strong>hands-on</strong></span><span><strong>!</strong> </span></span><span><span>C</span></span><span><span>ontribute directly to design decisions, data modeling, pipeline development, and platform builds alongside the team</span></span></li><li><span><span>Lead, grow, and mentor a </span><span>Data team. You are the one to set the direction and </span><span>its </span><span>expansion</span></span></li><li><span><span>Define and enforce </span></span><span><span><strong>data governance, quality, and security standards </strong></span></span><span><span>across all data environments</span></span></li><li><span><span>Partner with the </span></span><span><span><strong>CPTO</strong></span></span><span><span>, </span></span><span><span><strong>Technology Director</strong> </span></span><span><span>and </span></span><span><span><strong>Senior Lea</strong></span><span><strong>dership</strong> </span></span><span><span>to translate business needs into data infrastructure investments and roadmaps</span></span></li><li><span><span>Establish </span></span><span><span><strong>observability and monitoring </strong></span></span><span><span>practices to ensure platform reliability and data integrity</span></span></li><li><span><span>Drive a culture of </span></span><span><span><strong>data democratization</strong> </span></span><span><span>by </span></span><span><span>making data accessible, trustworthy, and actionable across the organization</span><span>and to our customers</span></span></li><li><span><span>Work with the CPTO and </span><span>P</span><span>roduct </span><span>L</span><span>ead to create a roadmap that provides practical, well thought out, but ambitious value to our customers</span></span></li></ul><h4><strong>What You Bring </strong></h4><ul><li><span><span><strong>10+ years </strong></span></span><span><span>of experience in data engineering, data architecture, or a related field, with at least </span></span><span><span>2–3 years in a <strong>senior leadership or director-lev</strong><strong>el role</strong></span></span></li><li><span><span>Proven experience </span></span><span><span>designing<strong> and building unified data platforms </strong></span></span><span><span>or data lake/</span><span>lakehouse </span><span>solutions in complex, multi-environment settings (on-prem + cloud + edge/customer-side)</span></span></li><li><span><span>Deep hands-on </span><span>expertise </span><span>with </span></span><span><span>enterprise data platforms </span></span><span><span>such as </span></span><span><span><strong>Snowflake, IBM DB2, Databricks, Redshift, </strong></span><span><strong>BigQuery</strong></span></span><span><span><strong>, or similar</strong></span></span></li><li><span><span>Strong background in </span></span><span><span><strong>data modeling, ETL/ELT pipeline design</strong></span></span><span><span>, and large-scale data architecture</span></span></li><li><span><span>Experience </span></span><span><span><strong>managing and developing engineering teams</strong></span></span><span><span>, with </span><span>a track record </span><span>of hiring, coaching, and </span><span>retaining </span><span>strong technical talent</span></span></li><li><span><span>Ability to </span><span>operate </span><span>at both the </span></span><span><span><strong>strategic and execution</strong><strong> </strong></span><span><strong>level -</strong></span></span><span><span> </span><span>this is explicitly a hands-on role</span></span></li><li><span><span>Solid understanding of </span></span><span><span><strong>data governance, security, and compliance</strong> </span></span><span><span>best practices.</span></span></li></ul><h4><strong>Bonus Points For </strong></h4><ul><li><span><span>Experience working with </span></span><span><span><strong>distributed or hybrid data environments </strong></span></span><span><span>where </span><span>data lives partially on customer infrastructure</span></span></li><li><span><span>Familiarity with modern data stack tooling: </span></span><span><span><strong>dbt</strong></span><span><strong>, Apache Airflow, Spark, Kafka</strong></span></span><span><span><strong>, or similar</strong></span></span></li><li><span><span>Exposure to </span></span><span><span><strong>data mesh or data fabric</strong> </span></span><span><span>architectural patterns</span></span></li><li><span><span>Background in building<strong> </strong></span></span><span><span><strong>self-serve analytics capabilities </strong></span></span><span><span>and BI tooling (e.g., Looker, Tableau, </span><span>Metabase</span><span>)</span></span></li><li><span><span>Experience in a </span></span><span><span><strong>scale-up or growth-stage company</strong> </span></span><span><span>where building from scratch is the norm</span></span></li><li><span><span>Knowledge of </span></span><span><span><strong>cloud platforms </strong></span></span><span><span>(AWS, GCP, or Azure) and their managed data services</span></span></li></ul> <h4><strong>Working Location </strong></h4><ul><li style="font-weight:bold;font-family:Arial, Helvetica, sans-serif;font-size:14px;"><strong>UK - Remote</strong></li><li style="font-weight:bold;font-family:Arial, Helvetica, sans-serif;font-size:14px;">Zagreb (Croatia) - Hybrid</li><li style="font-weight:bold;font-family:Arial, Helvetica, sans-serif;font-size:14px;">The Hague (Netherlands) - Hybrid</li></ul> <h4><strong>Why You’ll Love Working with Us </strong></h4><ul><li>Work in a fast-growing and interesting industry</li><li>Flexible work that best fits your needs and the role</li><li>Competitive compensation with some nice additional perks</li><li>Continuous improvement and learning opportunities to grow your career</li><li>Team activities, not the usual one just to look nice on social media but what our team choose and ask for</li><li>A great team of engaged passionate and helpful people</li></ul>