Data Elephant
11 - 50 employees
Founded 2022
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
B2B • Enterprise • Artificial Intelligence
Data Elephant is a Vancouver-based data and analytics consultancy founded in 2022 that helps organizations modernize data infrastructure and platforms to enable self-service reporting, advanced analytics, AI, and machine learning. They offer end-to-end services including data strategy, cloud migration, data engineering (warehouses, lakes, lakehouses), governance, BI, MLOps, and GenAI proof-of-concept and training, partnering with cloud and analytics providers like AWS, Databricks, and Microsoft. Data Elephant serves enterprise clients across industries (energy, mining, finance, transportation, retail, sports, public sector) and positions itself as a trusted advisor delivering measurable business outcomes through collaboration and long-term partnerships.
Senior Data Architect – Data Modelling
Job not on LinkedIn
🕒 March 25
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Data Elephant
11 - 50 employees
Founded 2022
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
B2B • Enterprise • Artificial Intelligence
Data Elephant is a Vancouver-based data and analytics consultancy founded in 2022 that helps organizations modernize data infrastructure and platforms to enable self-service reporting, advanced analytics, AI, and machine learning. They offer end-to-end services including data strategy, cloud migration, data engineering (warehouses, lakes, lakehouses), governance, BI, MLOps, and GenAI proof-of-concept and training, partnering with cloud and analytics providers like AWS, Databricks, and Microsoft. Data Elephant serves enterprise clients across industries (energy, mining, finance, transportation, retail, sports, public sector) and positions itself as a trusted advisor delivering measurable business outcomes through collaboration and long-term partnerships.
📋 Description
• Design and implement conceptual, logical, and physical data models aligned to business requirements • Develop dimensional models (star/snowflake schemas) for analytics and reporting use cases • Define and manage data structures within Databricks (Delta Lake) • Partner with business stakeholders to translate requirements into robust data models • Work closely with data engineers to align modeling with ingestion and transformation pipelines • Establish and enforce data modeling standards, naming conventions, and best practices • Optimize data models for query performance and cost efficiency within Azure and Databricks • Produce clear documentation for data models, definitions, and transformations
🎯 Requirements
• 7+ years of experience in data modeling and data architecture • Strong expertise in tools like Erwin, Hackolade, Data Vault • Dimensional modeling experience • Proven experience working in modern cloud data platforms like Azure, Databricks • Strong SQL skills and understanding of distributed data processing
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