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Senior Databricks Architect

Role overview

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.

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.

Key facts

  • Remote from: Canada
  • Freelance
  • Senior (5-10 years)
  • Architect (Building)
  • English

Hard skills

Other skills

  • Leadership
  • Consulting
  • Communication

About the company

Data Elephant logo

Data Elephant

Data Analytics & Business Intelligence

Data Elephant is a Vancouver, BC based boutique Data & Analytics consulting firm. We help organizations across industries drive value from their data and become more data-driven through an agnostic, flexible and local delivery model. We help change your business through data enablement. Data Elephant helps organizations modernize their data infrastructure and platforms to enable better decisions, self-service reporting, advanced analytics, AI, and machine learning. Our team of engineers, scientists, and analysts are passionate about applying the latest technologies to deliver real business outcomes. From tailored data solutions to ongoing support, we provide end-to-end services that adapt to each client's needs. We emphasize collaboration, transparency, and long-term partnerships, acting not only as builders, but also as trusted advisors. Data Elephant is a Vancouver-based, specialized Databricks Partner, with deep expertise in modern data platforms, cloud architecture, and AI enablement built on Databricks. Our team has deep experience designing and operating Databricks Lakehouse architectures across AWS, Azure, and GCP – helping organizations move from legacy analytics to scalable, high-performance platforms that are ready for ML and Generative AI. As a leading provider of Databricks Consulting Services in Canada, Data Elephant helps organizations modernize their data platforms, accelerate AI innovation, and unlock insights on the Databricks Data Intelligence Platform – securely, scalably, and responsibly.

Company details

IndustryData Analytics & Business Intelligence
Company sizeUnknown

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Job description

Data Elephant is a fast-growing Canadian data and AI consulting firm. We help organizations design, modernize, and scale cloud data platforms using technologies including Databricks, Microsoft Azure, AWS, Power BI, and modern AI and analytics solutions.

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 architecture or engineering certification.
  • Relevant Microsoft Azure certification.
  • Knowledge of data governance, medallion architecture, observability, and cloud cost management.
  • Consulting or professional services experience.

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.

Location

Remote within Canada - only candidates based in Canada will be considered for this role.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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