Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Bounteous

Databricks Solution Architect

Bounteous

Lead Databricks Engineer/Architect at Bounteous, designing and scaling cloud-based lakehouse platform while collaborating with data science teams.

Posted 6/20/2026full-timeRemote • 🇨🇦 CanadaSeniorLead💰 $115,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies
ApacheAWSAzureCloudGoogle Cloud PlatformPySparkPythonScalaSparkSQLTerraformUnity

About the role

Key responsibilities & impact
  • Architect and lead the implementation of an enterprise lakehouse on Databricks (Delta Lake, Unity Catalog, Photon, Workflows) across one or more major clouds (AWS, Azure, or GCP).
  • Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish patterns for ingestion from operational systems, event streams, and third-party APIs.
  • Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization.
  • Lead the governance strategy using Unity Catalog — fine-grained access control, data lineage, audit, and PII handling — in partnership with security and compliance.
  • Optimize Spark workloads for performance and cost: cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, and query tuning.
  • Partner with ML engineers and data scientists to operationalize models using MLflow, feature stores, and model serving on Databricks.
  • Own the cloud infrastructure footprint for the platform: networking, IAM, secrets, encryption, and Terraform/IaC for Databricks workspaces and supporting services.
  • Mentor a team of data engineers; lead architecture reviews, code reviews, and technical design sessions; raise the bar on engineering practices.
  • Engage with stakeholders across analytics, product, and finance to translate business needs into a roadmap for the data platform.

Requirements

What you’ll need
  • 8+ years of data engineering experience, with 4+ years building production workloads on Databricks.
  • Deep expertise in Apache Spark (PySpark and Spark SQL) — including performance tuning, partitioning strategy, and the Catalyst/Photon execution model.
  • Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables.
  • Production experience on at least one major cloud (AWS, Azure, or GCP), including networking, IAM, storage (S3/ADLS/GCS), and compute primitives.
  • Proficiency in Python and SQL; comfort with Scala is a plus.
  • Experience designing medallion (bronze/silver/gold) architectures and dimensional models for analytics.
  • Strong CI/CD and DevOps practice: Git, Terraform, Databricks Asset Bundles or dbx, automated testing of data pipelines.
  • Track record of leading technical projects end-to-end and mentoring engineers.
  • Excellent written and verbal communication; able to drive alignment with both engineering and business stakeholders.

Benefits

Comp & perks
  • Bounteous is willing to sponsor eligible candidates for employment visas.
  • Accommodation will be provided at any point throughout the hiring process for candidates with accommodation needs.
  • We welcome applications from all qualified candidates.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
DatabricksDelta LakePySparkSpark SQLStructured StreamingDelta Live TablesCI/CDDevOpsPythonSQL
Soft Skills
mentoringcommunicationstakeholder engagementleadershiptechnical design