Senior Data Architect

Job description

SwingDev—a hippo company is the Polish branch of a **fast-growing InsurTech** product company – Hippo Insurance. We’re here to make home insurance smarter and more proactive, using tech to bring fresh solutions. We also create digital products that support our customers, always focusing on what really makes an impact. Putting a lot of effort into hiring top-tier devs, designers, PMs, and QAs, is a proof that we care a lot about tech experience, the attitude, human approach, and what we could call „culture fit”. “SwingDev is all about people” - yes, it may sound a bit cliche. But whether we're writing code or just hanging out, we know that people are at the heart of everything we do. We like to have a good time and keep things light, even when we're tackling big projects. We could brag about what’s making us special, but we’ve boiled it down to two key ingredients: mature, companionable people who, rather than compete, prefer to inspire and have each other’s backs; a culture of trust, empathy, and positivity that keeps us together, lets us interact as teammates and friends, and truly enjoy the ride. **About the role:** We are building a modern, **AI-ready data ecosystem** from the ground up with **no legacy constraints**. As our first Senior Data Architect in the central data function, you will shape the foundational architecture and **best practices** that will support core insurance operations (agency, homeowners policy systems, fronting carrier ecosystem), enterprise analytics, data products, machine learning platforms, **agentic systems, and conversational BI**. This is a high-impact, **hands-on technical leadership** role. You will **prototype solutions**, make pragmatic architectural decisions quickly, and guide a team of senior engineers **who will challenge your thinking**. Expect **real ownership** and direct influence on platform direction. ### What will you do? - Shape high-level data architecture and platform strategy for analytics, ML, and agentic systems. - Design and prototype scalable lakehouse environments with medallion architecture in real cloud and cluster setups. - Establish practical governance, observability, and cataloging with a data mesh approach. - Prototype complex solutions and drive technical decisions. ### We might be a match if you… - 8+ years hands-on experience building large-scale data platforms. - Deep expertise with BigQuery, dbt, Airflow, and Fivetran or similar tech stack - don't worry/hesitate if you are expert in Dagster, SqlMesh or Snowflake - Ability to prototype fast in cloud environments and defend architectural choices with senior engineers. - Have a strong ownership mindset. - Have a great command of English and Polish (both written & spoken). - Are flexible around the afternoons – we prioritize everyone’s personal time and work-life fit, but since we work in PL-US teams, occasional evening meetings may be necessary to ensure smooth communication across time zones. - (Nice to have) Bring experience from organizations with mature architecture teams or from insurance/regulated industries. - (Nice to have) Have background with ML or agentic/AI platforms. This role offers **genuine greenfield impact**: building a serious platform for **data mesh**, machine learning, and advanced AI use cases (including **agentic systems and conversational BI**). If you get e**xcited about pragmatic**, high-quality data foundations that power real business outcomes – and you don’t mind the possible evening syncs – let's talk :) ### Recruitment process: - Send us your CV – it's the best way for us to get to know you. - Meet [Ola](https://www.linkedin.com/in/ola-kowalska/), one of our Recruiters - Join the technical conversation with our Senior Data Engineers - Interview with key stakeholders this role will work closely with - Meet on the final stage with [Marcin](https://www.linkedin.com/in/marcinmincer/) and [Alicja](https://www.linkedin.com/in/alicja-wilemajtys-186b43a7/). - and... welcome aboard! 👋