Senior Data Warehouse Architect (Data Vault 2.0)
🇵🇹 Portugal
Scala
Consulting
Management
Python
Snowflake
Machine Learning
Design
SQL
Analyst
€300 - €500
Senior Data Warehouse Architect (Data Vault 2.0)
from 🇵🇹 Portugal
€300 - €500
🌍 About Keyrus
Keyrus is a global consulting and technology company focused onmaking data matter — truly matter — from a human perspective.
Founded in 1996, Keyrus operates in28+ countries across 5 continents, with more than3,300 people worldwide. Our strength comes from combining deep expertise inData & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.
Data is never the goal in itself.
We use data toshape understanding, design meaningful experiences, and enable better, real-life decisions.
At Keyrus, we also believe companies have a responsibility beyond performance. Through ourFoundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
#OneTeamOneKeyrus
🎯 The Role
As aSenior Data Warehouse Architect (Data Vault 2.0), you will play a key role in designing, evolving, and optimising enterprise-scale data platforms for our clients.
You will work at the intersection of data architecture, engineering, and business, helping organisations build scalable, reliable, and future-proof data ecosystems. Collaborating with multidisciplinary teams in an international environment, you will drive architectural decisions, establish best practices, and ensure the successful delivery of modern data warehouse solutions.
📍Job location: Portugal - Remote
🕒Contract type: Fixed-term Employee Contract or B2B
🗓Target start date: July 2026
⏰Working hours: Full-time (40h/week)
💵Compensation:B2B€300–€500/day or
Employee Contract with a gross salary between €50,000 and €60,000 per year (for candidates based in Portugal)
Note: All applications(CVs)must be submitted in English.
💥 Your Impact
In this role, you will:
Design, implement, and maintain enterprise data warehouse solutions followingData Vault 2.0 methodology
Develop and optimiseHubs, Links, Satellites, PIT, and Bridge tables
Lead conceptual, logical, and physical data modelling activities across multiple initiatives
Define and promote data architecture standards, modelling guidelines, naming conventions, and documentation practices
Ensure scalability, performance, reliability, and maintainability of data warehouse architectures
Provide technical leadership and architectural guidance to Data Engineers and development teams
Drive the standardisation and automation of ELT processes, metadata management, and deployment practices
Collaborate closely with Business Analysts, Product Owners, Data Governance teams, and other stakeholders to translate business requirements into robust data solutions
Support reporting and analytics teams by delivering optimised and business-ready data structures
Implement and promote best practices related to data governance, lineage, metadata management, and DataOps
Define and enhance monitoring, validation, and observability processes across the data platform
Evaluate emerging technologies and recommend improvements to the overall data architecture landscape
⚡ What Makes This Role Challenging
You will work with complex enterprise data ecosystems that require scalable and maintainable architectural solutions
The role demands deep expertise inData Vault 2.0 and the ability to apply modelling standards consistently across multiple initiatives
You will balance long-term architectural vision with immediate business and delivery requirements
The position requires close collaboration with both technical and business stakeholders, translating complex requirements into effective data models
You will drive governance, quality, and standardisation efforts while enabling innovation and scalability
The environment combines modern cloud data platforms, large data volumes, and evolving business needs
👤 What We’re Looking For
Must-haves
Minimum7 years of experience in Data Engineering, Data Architecture, Business Intelligence, or Data Warehouse environments
Proven expertise inData Vault 2.0 modelling and architecture
Strong experience designing and implementing enterprise-scale Data Warehouse solutions
Advanced SQL skills and strong data modelling expertise
Experience with modern cloud data platforms (Snowflake, Databricks, etc.)
Experience with ETL/ELT tools and orchestration frameworks (DBT, Airflow, etc.)
Strong understanding of:
Data Governance
Metadata Management
Data Lineage
Master Data Management (MDM)
DataOps practices
Experience providing technical leadership and architectural guidance to engineering teams
Excellent communication and stakeholder management skills
Strong analytical and problem-solving abilities
Fluency inEnglish
Must be aPortuguese or European citizen, or hold avalid work permit for Portugal
Nice-to-haves
Data Vault 2.0 certification
Experience with event-driven or real-time data architectures
Knowledge of Python and/or Scala for automation and data engineering activities
Experience mentoring engineers, leading technical initiatives, or guiding architecture communities
Exposure to cloud-native data platform architectures
Exposure tointernational or multicultural projects
Experience working inconsulting or client-facing environments
💰 How Our Salary Ranges Work
At Keyrus, salary ranges reflectdifferent levels of mastery and impact within the same role — not different job titles.
Bottom of the range
You meet the core requirements and will need ramp-up time and support.Middle of the range
You are fully autonomous from Day 1 and deliver consistently.Top of the range
You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based onexperience, autonomy, scope, and market context, and are discussed transparently during the process.
🎁 What We Offer at Keyrus Portugal
Competitive salary aligned with your experience and the data market
Meal allowance:€10.20/day
Flexible benefits plan
Private medical insurance
22 days of annual leave, increasing every 3 years (up to 25 days)
Continuous learning viaKLX – Keyrus Learning Experience
A collaborative, international, and human-centred work environment
💙 Why Keyrus?
Joining Keyrus means joining:
Amarket leader in Data Intelligence
A company wherepeople, trust, and diversity are core values
An environment that valuesownership, flexibility, and innovation
A place where different backgrounds and perspectives are not just welcomed = they are essential
We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.
♿ Equal Opportunity Statement
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.







