Databricks Architect at Data Elephant in Remote

We are seeking a Senior Databricks Architect to join our growing team. This is a senior technical leadership role, responsible for guiding clients through their data modernization journeys - designing, architecting, and implementing scalable data and AI platforms on Databricks. You will act as a trusted advisor to senior stakeholders while rolling up your sleeves to lead solution design, migrations, and governance implementations.

Responsibilities

• 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.

QUALIFICATIONS

• 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.

Be part of Canada’s leading boutique consulting firm focused on Databricks and modern data platforms.

• Work on challenging, high-impact projects with mid-sized and enterprise clients across industries,
• and collaborate with a senior, high-performing team that values speed, pragmatism, and client success.