Solutions Architect - Databricks (Remote)

Lumenalta; Calgary; Remote; CAD 104,000 - 222,000; Full time

Benefits offered by this job

Flexible working hours

Health insurance

Professional development fund

15 days paid time off annually

Access to soft-skill development courses

Job summary

A global technology firm is seeking a Senior Solution Architect with extensive experience in Databricks and AWS to design scalable data solutions. This fully remote role requires strong design and architecture skills, with responsibilities including managing data pipelines and cloud infrastructure. Candidates must have over 8 years of relevant experience and proficiency in technologies such as PySpark, Python, and SQL. The salary ranges from CA$104,000 to CA$222,000 annually, alongside competitive benefits.

Qualifications

• 8+ years of experience in data engineering, solution architecture, or related roles.
• Proven experience designing enterprise-grade data platforms and architectures.
• Deep, hands-on expertise with Databricks, AWS, PySpark, Python, and SQL.

Responsibilities

• Design end-to-end data architectures on AWS, with Databricks at the core.
• Own architectural decisions across data pipelines, cloud infrastructure, and platform integrations.
• Translate complex business requirements into robust, scalable technical solutions.

Skills

Databricks

AWS

PySpark

Python

SQL

Job description

We partner with global enterprises to design and build large-scale data platforms that power digital products used by millions of users. Our work involves complex data ecosystems, cloud-native architectures, and high-volume, high-impact use cases.

We’re looking for a Senior Solution Architect with deep Databricks and AWS experience to lead the design of scalable, secure, and high-performance data solutions. This is a senior, hands‑on architecture role with strong ownership over technical decisions and client‑facing impact.

This is an evergreen role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.

What You’ll Do

• Design end-to-end data architectures on AWS, with Databricks at the core
• Own architectural decisions across data pipelines, cloud infrastructure, and platform integrations
• Translate complex business and product requirements into robust, scalable technical solutions
• Define standards, patterns, and best practices for building with PySpark, Python, SQL, and Databricks
• Act as a technical leader and advisor for engineering teams
• Collaborate closely with product, data, and engineering stakeholders to ensure architectural alignment and long‑term scalability
• Review designs and implementations to ensure performance, security, reliability, and cost efficiency

What We’re Looking For

• 8+ years of experience in data engineering, solution architecture, or related roles
• Proven experience designing enterprise‑grade data platforms and architectures
• Deep, hands‑on expertise with: Databricks (production and architectural experience required), AWS, PySpark, Python and SQL
• Strong understanding of: Distributed data systems, Cloud‑native architecture principles and Data modeling and integration patterns
• Excellent communication skills and ability to work directly with technical and non‑technical stakeholders
• Fluent English, both written and spoken

Salary range: CA$104,000 - CA$222,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

Location

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

• Flexible working hours in a remote environment.
• Health insurance (medical and dental) for T4 Employees.
• A professional development fund to enhance your skills and knowledge.
• 15 days of paid time off annually.
• Access to soft‑skill development courses to further your career.

This is a full‑time position requiring a minimum of 40 hours per week, Monday through Friday.

Application Deadline

This role is an evergreen position with no predetermined start date. Applications will be accepted until April 30, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.