Databricks Architect

🔥 21 hours ago

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Data Elephant

WebsiteLinkedInAll Job Openings

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

• Lead the design and implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog). • Partner with client executives and technical teams to align data strategy with business priorities. • Architect scalable, secure, and cost-efficient solutions across AWS, Azure, and GCP. • Provide hands-on technical leadership for solution delivery, including guiding engineers and ensuring best practices. • Define and implement governance models, including data access, lineage, and security frameworks. • Evaluate and prioritize high-value AI and ML use cases, embedding Generative AI into client strategies. • Act as a thought leader by contributing to client workshops, executive roundtables, and industry discussions.

🎯 Requirements

• 8+ years of experience in data engineering, analytics, or architecture roles. • 3+ years of hands-on experience with Databricks, including advanced features (Delta Lake, Unity Catalog, MLflow). • Proven experience leading large-scale data migrations (ETL, workloads, cloud platforms). • Strong expertise in at least one cloud environment (AWS, Azure, or GCP). • Multi-cloud experience is an asset. • Excellent understanding of data governance, security, and compliance in enterprise environments. • Ability to engage both executives and technical teams with equal confidence. • Consulting experience is strongly preferred. • Databricks or cloud certifications (AWS, Azure, GCP) are an asset.