Solutions Architect - Databricks (Remote)

Lumenalta

Calgary

Remote

CAD 103,000 - 222,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours

Health insurance (medical and dental)

Professional development fund

15 days of paid time off annually

Access to soft-skill development courses

Job summary

A leading technology solutions provider is seeking a Senior Solutions Architect specializing in Databricks and AWS. This fully remote role requires 8+ years of experience, where you'll lead the design of scalable data architectures and own architectural decisions. Responsibilities include translating business requirements into robust solutions, defining standards for data architecture, and collaborating with teams to ensure alignment. The company offers flexible hours, health insurance, and a professional development fund.

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.
Define standards, patterns, and best practices for building with PySpark, Python, SQL, and Databricks.

Skills

Databricks

AWS

PySpark

Python

SQL

Communication skills

Data engineering

Solution architecture

Job description

Solutions Architect - Databricks (Remote)

Join to apply for the Solutions Architect - Databricks (Remote) role at Lumenalta.

Base pay range

CA$103,000.00/yr – CA$222,000.00/yr

About the Role

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.

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

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.

Benefits