Data Architect
HR & IT Talent Acquisition at Advance
Works
Challenge yourself and us
At Advance
Works, we learn, grow, and have fun together. And we do all this while creating great software solutions for clients across many industries and geographies.
We are constantly challenging ourselves and each other to use the latest technologies and the best methodologies and make sure we walk the talk.
Exciting as it may sound, we also have our red lines: each of us is a unique person, with unique opinions, beliefs, options, interests, hopes, and fears. With the right to speak its mind, be mindful of the common goals, and always be constructive.
The way we respect each other, discuss different points of view, and challenge ourselves and each other while tackling our common challenges makes us strong. United. Brave. And sure that there will be a better tomorrow, even when we do mistakes. Because we learn from our failures and successes.
What will be your role
We´re looking for a Data Architect to join our team in a hybrid role for a
- impact project in the banking sector.
You’ll be expected to provide strategic and technical direction, ensuring alignment between the data architecture and business needs, and enabling advanced analytics and
- driven
- making by:
- Designing conceptual, logical, and physical data models across complex systems and data flows;
- Leading the implementation of scalable data solutions using Databricks, Delta Lake, and Spark;
- Establishing and enforcing standards and best practices for data modeling, quality, and lifecycle management;
- Collaborating closely with data engineers and business analysts to define data domain boundaries and integration points;
- Implementing ELT pipelines and orchestrating data ingestion from structured and
- structured sources; - Ensuring that architecture decisions consider security, scalability, performance, and maintainability within the Azure environment;
- Providing architectural oversight and mentoring to junior engineers and analysts;
- Driving innovation and continuous improvement by researching and introducing new tools, frameworks, and practices.
What should you bring to the team?
- 4+ years of experience in data architecture, data engineering, or similar roles;
- Proven experience in designing and implementing data models for analytical and operational purposes;
- Hands‑on experience with Databricks and distributed data processing (Spark, Delta Lake);
- Strong knowledge of Microsoft Azure Cloud, including: Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Data Factory, Azure SQL Database / SQL Managed Instance, Azure Purview (for data governance and cataloging);
- Solid experience in SQL and at least one programming language (Python preferred);
- Deep understanding of data warehouse/lakehouse architecture and data modeling techniques (3NF, dimensional, Data Vault);
- Experience in designing and enforcing data governance and data quality frameworks;
- Strong communication skills and stakeholder management abilities;
- Fluency in English;
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
- Availability to work in a hybrid model.
What is in it for you
- An amazing informal culture of smart, hardworking and friendly people who support and care about each other;
- A mentorship program since day one;
- Opportunity to influence strategic and operational initiatives;
- Formal training and certifications in technology, methodology and soft skills;
- A dynamic company where your talent matters more than politics;
- Flexibility with responsibility;
- Happy hours and feel‑good after‑hours events;
- A Rubber Duck to help you debug when things get tough.
If you’re passionate about data, cloud technologies, and delivering value through intelligent architecture, we’d love to meet you!
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
IT Services and IT Consulting and IT System Data Services
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Works by 2x
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Empresa: AdvanceWorks Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 18. 11. 2025
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