Data Architect
- Hiring from
- Poland
- Work type
- Remote
- Posted
624,585 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
Data Architect
Location: Remote (European Time Zone)
Contract Type: B2B
About us:
ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.
We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.
About the role:
You'll join the Cloud Platforms & Architecture team, part of the technology department, working cross-functionally with data engineering, analytics and business teams. Our Databricks lakehouse turns many market data sources into trusted ETF datasets for our web application, APIs and data deliveries. Your primary goal will be owning the data model across all of those datasets, so it stays consistent, coherent and tied to business value end to end.
As a Data Architect, you will be the technical authority on how data is structured, related and made available for analytics and downstream consumption: you own the conceptual and logical model and the modelling patterns teams build on, while the data engineering teams own the physical implementation and are expected to challenge your designs. You will collaborate closely with data engineers, the platform team, analysts, product owners and business stakeholders.
You'll be part of a collaborative team focused on data architecture, data quality and engineering standards, in a senior individual contributor role with real design authority. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.
Responsibilities:
Location: Remote (European Time Zone)
Contract Type: B2B
About us:
ETFbook is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Founded in 2020, we aim to make global ETF data accessible, actionable, and valuable for institutional participants, including ETF issuers, index providers, fund service providers, market makers, exchanges, and buy-side institutions.
We develop a platform which offers comprehensive insights through a user-friendly web application and robust APIs, covering areas such as product analysis, fund flow tracking, performance comparisons, and liquidity assessments.
About the role:
You'll join the Cloud Platforms & Architecture team, part of the technology department, working cross-functionally with data engineering, analytics and business teams. Our Databricks lakehouse turns many market data sources into trusted ETF datasets for our web application, APIs and data deliveries. Your primary goal will be owning the data model across all of those datasets, so it stays consistent, coherent and tied to business value end to end.
As a Data Architect, you will be the technical authority on how data is structured, related and made available for analytics and downstream consumption: you own the conceptual and logical model and the modelling patterns teams build on, while the data engineering teams own the physical implementation and are expected to challenge your designs. You will collaborate closely with data engineers, the platform team, analysts, product owners and business stakeholders.
You'll be part of a collaborative team focused on data architecture, data quality and engineering standards, in a senior individual contributor role with real design authority. This role offers the chance to make a visible impact in a dynamic, fast-evolving field.
Responsibilities:
- Owns the data model across all datasets: consistent, coherent, end to end.
- Owns the conceptual and logical model; data engineers own the physical one.
- Defines architecture standards and modelling patterns applied across domains.
- Adjudicates trade-offs between engineering constraints and business needs.
- Reviews proposed data solutions for technical soundness and business value.
- Turns business requirements into governed data structures and guides delivery.
- Designs reference data: instrument identifiers, history, cross-source matching.
- Defines data contracts and the serving layer for analytics and downstream use.
- Designs governance with the platform team: classification, lineage, retention.
- Joins relevant projects from the start and records architecture decisions.
Requirements:
- 8+ years in data engineering or architecture, several as a platform's design authority.
- Deep data modelling: dimensional, Data Vault or comparable; knows when each fits.
- Lakehouse architecture in production, ideally Databricks and Unity Catalog.
- Strong SQL; hands-on enough in Python to prototype and review engineers' code.
- Master and reference data management: identifier design, history handling.
- Governance designed in, not bolted on: metadata, lineage, quality, access, GDPR.
- Explains trade-offs clearly to engineers and business stakeholders alike.
- English - B2 or higher.
- Financial market data: ETF and fund reference, primary and secondary data.
- dbt; modelling tools such as erwin or ER/Studio; Postgres serving layers.
- Semantic layers or metrics stores; AI-assisted modelling and documentation.
- 100% remote work from anywhere within the European time zone.
- Competitive B2B contract.
- Exciting growth opportunities in a fast-paced startup.
- Impactful work: help revolutionise ETF data market, currently fastest growing area of finance.
- Have a real impact of developing products: your work will directly influence live projects, delivering measurable results in real-world applications.
- Culture of innovation: collaborate with forward-thinking professionals in technology and finance where experimentation and creativity are encouraged.
- Team- buildings events at least twice a year, hosted in various European locations.
