📋 Description

• Partner with business leaders and stakeholders to understand strategic objectives, uncover complex
• Design and maintain enterprise marketing data models, semantic layers, ontologies, and
• Architect semantic context layers and data models designed to support LLM-powered applications
• Build scalable multi-layer data architectures, including controlled taxonomies, classification
• Develop deterministic and probabilistic identity resolution models and graph-oriented structures to
• Lead cross-system integrations and develop high-performance ingestion and transformation pipelines

🎯 Requirements

• 5+ years of hands-on experience in data engineering, analytics engineering, or data architecture
• 2+ years of experience in a client-facing, consultative, or strategic leadership capacity
• Strong consultative and business-oriented mindset, with the ability to translate ambiguous business
• Hands-on expertise with modern cloud data platforms, particularly Databricks, Snowflake, or
• Advanced proficiency in SQL, Python/PySpark, data pipeline orchestration, and modern data stack
• Strong understanding of data modeling, including dimensional models, multi-layer or Medallion

🎁 Benefits

• Competitive compensation aligned with experience, skills, certifications, and scope of
• For reference, the published U.S. compensation range for the role is US$120,000–$140,000 per year
• Fully remote work flexibility.
• Medical, dental, and vision benefits, where applicable.
• Short-term and long-term disability coverage.
• Life and AD&D insurance.