<h2>🌍 About Keyrus</h2><p>Keyrus is a global consulting and technology company focused on <strong>making data matter — truly matter — from a human perspective</strong>.</p><p>Founded in 1996, Keyrus operates in <strong>28+ countries across 5 continents</strong>, with more than <strong>3,300 people worldwide</strong>. Our strength comes from combining deep expertise in <strong>Data & Analytics, AI, Digital, and Management Consulting</strong> with a strong understanding of business realities.</p><p>Data is never the goal in itself.<br>We use data to <strong>shape understanding, design meaningful experiences, and enable better, real-life decisions</strong>.</p><p>At Keyrus, we also believe companies have a responsibility beyond performance. Through our <strong>Foundation and ESG initiatives</strong>, we actively contribute to sustainability, inclusion, and positive societal impact.</p><p><strong>#OneTeamOneKeyrus</strong></p><hr><h2>🎯 The Role</h2><p>As a <strong>Snowflake Data Architect</strong>, you will work at the intersection of data, technology, and business, helping our clients design and scale modern data platforms that turn complexity into clarity and insights into impact.</p><p>You will play a key role in a <strong>strategic data platform migration from Databricks to Snowflake</strong>, collaborating with multidisciplinary teams in an international environment and contributing to projects that drive performance, innovation, and data‑driven decision‑making — particularly for complex analytical and financial reporting use cases.</p><p>📍 <strong>Job location:</strong> Remote (Europe‑based)<br>🕒 <strong>Contract type:</strong> Contractor (B2B) / Employee is available if based in Portugal<br>🗓 <strong>Target start date:</strong> ASAP<br>⏰ <strong>Working hours:</strong> Full‑time (40h/week)<br>💵 <strong>Compensation:</strong> Daily rate €350 – €500</p><p><strong>Note:</strong> All applications (CVs) must be submitted in English.</p><hr><h2>💥 Your Impact</h2><p>In this role, you will:</p><ul><li><p>Architect, design, and manage <strong>end‑to‑end Snowflake‑based data platforms</strong>, ensuring high performance, scalability, and reliability</p></li><li><p>Lead <strong>data modelling initiatives</strong> (dimensional, normalized, and hybrid models) to support complex analytical and financial reporting needs</p></li><li><p>Design and implement <strong>ETL/ELT pipelines</strong>, including orchestration, data ingestion, and real‑time or near‑real‑time streaming integrations</p></li><li><p><span>Collaborate with stakeholders to analyse data requirements, translating business needs into <strong>effective data architecture design</strong>s.</span></p></li><li><p><span>Ensure <strong>best practices in Snowflake implementation</strong>, including performance optimisation, security, access control, and storage management.</span></p></li><li><p>Develop advanced <strong>SQL and Python</strong> scripts for data transformation, automation, and validation</p></li><li><p>Integrate <strong>DevOps practices</strong> such as CI/CD and infrastructure‑as‑code into the data engineering lifecycle</p></li><li><p>Provide <strong>architectural leadership and mentoring</strong> to data engineers, fostering high standards for delivery, documentation, and collaboration</p></li><li><p>Support <strong>proofs of concept (POCs)</strong> and contribute to technical evaluations of tools and technologies</p></li></ul><hr><h2>⚡ What Makes This Role Challenging</h2><ul><li><p>You will work in <strong>complex, evolving enterprise data environments</strong></p></li><li><p>You will balance <strong>architectural rigor with pragmatic delivery</strong></p></li><li><p>You will collaborate with diverse stakeholders across teams, cultures, and time zones</p></li><li><p>As a senior contractor, <strong>autonomy is high — and so is responsibility</strong></p></li></ul><hr><h2>👤 What We’re Looking For</h2><h3>Must-haves</h3><ul><li><p>7+ years of experience in <strong>data engineering</strong>, including <strong>at least 3 years architecting Snowflake solutions at scale</strong></p></li><li><p>Strong expertise in <strong>SQL</strong> and performance tuning for large analytical workloads</p></li><li><p>Deep understanding of <strong>Snowflake architecture</strong> (storage, virtual warehouses, query optimisation, data sharing)</p></li><li><p>Proven experience with <strong>data modelling</strong> (3NF, star/snowflake schemas, analytical data marts)</p></li><li><p>Hands‑on experience with <strong>ETL/ELT and orchestration tools</strong> (e.g. dbt, Airflow, Dataiku, Talend)</p></li><li><p><span>Fluency in <strong>Python </strong>or similar scripting languages for automation and transformation tasks.</span></p></li><li><p>Solid understanding of <strong>DevOps practices</strong> in data environments (CI/CD, version control, IaC)</p></li><li><p>Familiarity with <strong>data governance, security, and compliance</strong> in cloud environments</p></li><li><p>Strong communication skills and the ability to engage with both technical and business stakeholders</p></li><li><p><strong>Fluency in English</strong></p></li><li><p>Must be <strong>Europe‑based</strong> and able to work as a contractor</p></li></ul><h3>Nice-to-haves</h3><ul><li><p>Experience in <strong>consulting or client‑facing environments</strong></p></li><li><p>Exposure to <strong>Databricks to Snowflake migration projects</strong></p></li><li><p>Experience with cloud platforms (<strong>AWS, Azure, or GCP</strong>)</p></li><li><p>Knowledge of <strong>real‑time data processing frameworks</strong> (Kafka, Spark Streaming)</p></li><li><p>Background in <strong>financial services or insurance is a plus</strong></p></li></ul><hr><h2>💰 How Our Salary Ranges Work</h2><p>At Keyrus, salary ranges reflect <strong>different levels of mastery and impact within the same role</strong> — not different job titles.</p><ul><li><p><strong>Bottom of the range</strong><br>You meet the core requirements and will need ramp-up time and support.</p></li><li><p><strong>Middle of the range</strong><br>You are fully autonomous from Day 1 and deliver consistently.</p></li><li><p><strong>Top of the range</strong><br>You are a reference for the role, mentor others, and raise the bar for the team.</p></li></ul><p>Final offers are based on <strong>experience, autonomy, scope, and market context</strong>, and are discussed transparently during the process.</p><hr><h2>🎁 What We Offer at Keyrus Portugal</h2><ul><li><p>Competitive salary aligned with your experience and the data market</p></li><li><p>Meal allowance: <strong>€10.20/day</strong></p></li><li><p>Flexible benefits plan</p></li><li><p>Private medical insurance</p></li><li><p><strong>22 days of annual leave</strong>, increasing every 3 years (up to 25 days)</p></li><li><p>Continuous learning via <strong>KLX – Keyrus Learning Experience</strong></p></li><li><p>A collaborative, international, and human-centred work environment</p></li></ul><hr><h2>💙 Why Keyrus?</h2><p>Joining Keyrus means joining:</p><ul><li><p>A <strong>market leader in Data Intelligence</strong></p></li><li><p>A company where <strong>people, trust, and diversity</strong> are core values</p></li><li><p>An environment that values <strong>ownership, flexibility, and innovation</strong></p></li><li><p>A place where different backgrounds and perspectives are not just welcomed = they are essential</p></li></ul><p>We believe diversity drives better thinking, stronger teams, and better outcomes.<br>Everyone belongs at Keyrus.</p><hr><h2>♿ Equal Opportunity Statement</h2><p>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.</p><p> </p><figure><lite-youtube videoid="D0Zdvc0v0so" title="Play: Video" posterquality="sddefault"></lite-youtube></figure>