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Professional Level Jobs in Alberta (NOW HIRING)

Bits In Glass

Databricks Solution Architect

Calgary, AB · Remote

Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional). * Strong expertise in at least one core data domain: big data engineering (Spark, Kafka ...

Marriott

Club Level Concierge

Calgary, AB · On-site

Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain ...

Marriott

Club Level Concierge

Calgary, AB

Speak with others using clear and professional language, prepare and review written documents accurately and completely, and answer telephones using appropriate etiquette. Develop and maintain ...

Graham

Security Professional - Buildings

Edmonton, AB · Remote

Reporting to the Director, Defence Sector, the Security Professional will be responsible for ... Valid Secret (Level II) Security Clearance or ability to obtain; Top Secret clearance is considered ...

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Professional Level information

What types of projects and responsibilities can I expect at the professional level, and how do they differ from entry-level roles?

At the professional level, you will generally be expected to manage more complex projects, demonstrate a higher degree of autonomy, and contribute to strategic decision-making within your team or department. You may be responsible for mentoring junior staff, leading cross-functional initiatives, and providing specialized expertise in your area. The work environment often involves collaborative problem-solving and greater accountability for project outcomes. Compared to entry-level roles, professional-level positions typically offer more opportunities for leadership, innovation, and career advancement.

What are the key skills and qualifications needed to thrive as a professional level employee, and why are they important?

To thrive at the professional level, you generally need a relevant degree, strong expertise in your field, and a proven track record of achievement. Familiarity with industry-standard software, project management tools, or certifications (such as PMP, CPA, or Six Sigma) is often required. Exceptional communication, problem-solving, and leadership skills help professionals distinguish themselves within their organizations. These competencies enable professionals to deliver results, drive team success, and adapt to evolving business challenges.

What is a professional level?

Professional level jobs are positions that typically require specialized knowledge, advanced education, or significant experience in a particular field. These roles often demand a bachelor's degree or higher, and may also require certifications or licensure. Professional level jobs include careers such as engineers, accountants, lawyers, and managers. They usually offer higher responsibility, autonomy, and compensation compared to entry-level positions. Advancement in these roles often depends on expertise, performance, and continued professional development.
What are the most commonly searched types of Level jobs in Alberta? The most popular types of Level jobs in Alberta are:
Professional Level jobs near you
Infographic showing various Professional Level job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Databricks Solution Architect

Bits In Glass

Calgary, AB • Remote

Full-time

Posted 4 days ago

Job description

Databricks Solution Architect

Bits In Glass Remote-friendly (Canada)


Bits In Glass (BIG) is a high-growth AI and automation consulting firm with offices across Canada, the United States, India, and the United Kingdom. Our portfolio spans more than 10 leading technologies across AI, cloud, data, automation, and business applications.

Recognized globally as a Great Place to Work and the recipient of multiple partner excellence awards, BIG is built on collaboration, innovation, and delivering measurable business outcomes for enterprise clients. We are a team of experienced technology professionals who enjoy solving complex challenges, celebrating wins together, and helping customers modernize with confidence.

About the Role

We are looking for a hands-on Databricks Solution Architect to design the data and AI platforms that power our enterprise clients. This is a deeply technical role for an architect who wants to stay close to the technology - shaping Lakehouse architectures, building working prototypes, and setting the technical direction that delivery teams carry forward.

You will work directly with prospects and customers to understand their data challenges and design solutions on the Databricks Lakehouse Platform that actually fit their environment. That means partnering with our account and delivery teams throughout the sales process, ensuring the architecture you propose gets built. This role is ideal for someone who enjoys solving hard data problems, solution storytelling, and being the trusted technical voice customers rely on.

What You'll Do

  • Design scalable Databricks solution architectures - Lakehouse, Delta Lake, and Unity Catalog patterns - tailored to each customer's environment and business goals.
  • Lead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture
  • Build working prototypes, proofs-of-concept, and reference architectures that showcase the capabilities of the Databricks Lakehouse Platform.
  • Guide customers on best practices for data pipelines, data modeling, and platform governance.
  • Advise on integrating Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.
  • Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store.
  • Identify and mitigate technical risks early so delivery teams are set up for success.
  • Translate complex technical concepts into clear business value for both technical stakeholders and executive audiences.
  • Partner with account teams throughout the sales process - from early prospect conversations through evaluation - to shape sound, winning technical strategies
  • Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures.

Technical Leadership & Community

  • Serve as a resident Databricks expert within BIG - sharing knowledge and enabling the broader team.
  • Contribute reusable accelerators, demo assets, and technical playbooks.
  • Stay current on Databricks platform releases and evolving data and AI patterns.
  • Represent BIG at customer events, webinars, and Databricks partner activities.
  • Provide field feedback to Databricks product and partner teams to help influence the roadmap.
  • Travel up to 15% for customer meetings and partner collaboration.

What You Bring

  • 3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity.
  • 5+ years in customer-facing technical roles - solutions architecture, technical consulting, or sales engineering.
  • Experience designing, presenting, and delivering production data architectures for enterprise customers - including Lakehouse, Delta Lake, and Unity Catalog Patterns - on AWS, Azure, and/or GCP.
  • Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional).
  • Strong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.
  • Fluency in Python and SQL (Scala, Java, or R is a plus).
  • Exceptional verbal and written communication and presentation skills - able to engage in and lead business-level meetings with technical and non-technical Client and internal team members.
  • Ability to translate complex topics into clear business value and earn buy-in from engineers and executives.

Nice to Have

  • A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.
  • Experience with adjacent technologies such as dbt, Fivetran, Airflow, or Delta Sharing.
  • Familiarity with AI/GenAI frameworks and LLM application patterns.
  • Databricks GenAI Engineer Associate certification.
  • Exposure to enterprise engagement cycles and how technical decisions shape deal outcomes.
  • Experience with Frontier LLMs such as Claude code for SDLC acceleration.

Why Bits In Glass?

  • Work on meaningful, high-impact data and AI projects for enterprise clients across Canada, the US, UK, and India.
  • Join a Certified Great Place to Work with a people-first, collaborative culture.
  • Access to 10+ cutting-edge technology practices and continuous learning opportunities.
  • Competitive compensation, benefits, and a team that celebrates wins together.
  • Flexible, remote-friendly work environment.

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