Data Architect

🕒 March 18

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Act as technical leader in Data & Analytics projects • Design modern architectures, critically evaluate solutions, and coordinate technical implementation • Translate complex requirements into clear, simple solutions • Coordinate the technical execution of projects, ensuring alignment between architecture, scope, timelines, and client expectations • Lead strategic conversations with clients, ensuring active listening, empathy, and clarity • Ensure deliverables reflect the defined architectural vision and quality • Evaluate new technologies, trends, and architectural approaches

🎯 Requirements

• 7+ years in Data Architecture, Data Engineering, or related roles. • Proven experience designing complex solutions in modern data environments. • Prior experience in consulting or client-facing projects. • Track record of technical leadership of teams and projects. • Advanced English • Data Architecture (Data Lake, Data Warehouse, Data Mesh, distributed architectures). • Cloud (Azure, AWS, or GCP) with a focus on data. • Modern data platforms (Snowflake and Databricks). • Data pipelines (ELT/ETL, streaming, orchestration). • Data Governance / Data Quality / Metadata. • Data modeling (relational, dimensional, domain-driven).

🏖️ Benefits

• Culture of equality • Diversity and multiculturalism