
11 - 50 employees
Founded 2022
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
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.
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11 - 50 employees
Founded 2022
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
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.
• Lead discovery workshops to understand business priorities, source systems, data volumes, security requirements, and operational constraints • Translate discovery findings into practical architecture and phased implementation plans • Design Microsoft Fabric environments, including tenant and capacity considerations, workspace organization, development and production separation, and ownership and support responsibilities • Define OneLake architecture, Lakehouse and Warehouse patterns, medallion layers, data organization, shortcuts, mirroring, and data movement • Select ingestion, transformation, and orchestration approaches across Fabric Data Factory, Dataflow Gen2, Spark notebooks, and relevant Azure services • Design data models and curated data products for reporting, Power BI semantic models, analytics, AI, and machine learning use cases • Establish security and governance with client teams, including Microsoft Entra ID, access controls, data ownership, lineage, classification, and Microsoft Purview integration • Set standards for Git, CI/CD, deployment, testing, monitoring, recovery, and performance and capacity management • Validate key architecture decisions through hands-on implementation • Lead technical delivery and architecture reviews • Mentor engineers • Work with pursuit and delivery teams on scope, estimates, dependencies, and implementation risks
• Significant experience designing and delivering enterprise data platforms • Technical leadership and direct client engagement experience • Demonstrated experience architecting and implementing Microsoft Fabric in production • Strong practical knowledge of OneLake, Fabric Lakehouse and Warehouse, Fabric Data Factory, Spark notebooks, and Delta Lake • Strong Microsoft Azure data platform experience, including Azure Data Factory, ADLS Gen2, and Azure SQL • Ability to design integrations between Azure and Fabric • Hands-on proficiency with SQL and Python or PySpark • Strong data modeling, ETL/ELT, and dimensional modeling skills • Experience designing security, governance, deployment, and operational practices • Sound judgment about performance, cost, and maintainability • Ability to lead workshops, document architecture decisions, guide delivery teams, and translate technical options into business implications • Additional valued experience with Microsoft Purview, Power BI semantic models and Direct Lake, Azure Databricks, or Azure Synapse migration • Experience with Fabric capacity planning and monitoring, Real-Time Intelligence, or enterprise ERP and SaaS integrations • Relevant Microsoft certifications are valued, such as Fabric Analytics Engineer Associate or Fabric Data Engineer Associate • Clear communication with technical and business audiences • Ability to explain trade-offs and build trust with clients
• Opportunities to take ownership and deepen expertise • Learning alongside experienced colleagues • Meaningful client challenges • Opportunity to contribute to delivery practices and help shape a growing consulting practice
Apply Now🕒 6 days ago
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