Senior Databricks Architect
Posted 401 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 401d ago
The date the source published, not the day we noticed it (2025-08-28). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Canada
The description agrees: it names Canada.
What the ad says
…Remote within Canada - only candidates based in Canada will be considered for this role…
…only candidates based in Canada will be considered for this role…
Pay not stated
Similar roles pay CA$155.7k–183k/yr
Middle 50% of 124 listings that do state pay — Engineering · Senior · Canada · CAD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
bamboohr employer's own board first seen 4h ago · last seen 1h ago
The listing
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.