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Remote Cfa Data Science Jobs in Toronto, ON (NOW HIRING)

Epistemix

Senior Back End Software Engineer

Toronto, ON · Remote

Demonstrated experience or strong understanding of data science orchestration platforms, such as ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Future Secure AI

Engagement Lead

Toronto, ON · Remote

Align cross-functional teams, including analysts, data science, engineering, QA, and delivery, to ... For well qualified US applicants, remote is an option. Why Future Secure AI We are a high-growth ...

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Remote Cfa Data Science information

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are popular job titles related to Remote Cfa Data Science jobs in Toronto, ON?

For Remote Cfa Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Cfa Data Science jobs in Toronto, ON look for?

The top searched job categories for Remote Cfa Data Science jobs in Toronto, ON are:

Remote Cfa Data Science jobs near you
Infographic showing various Remote Cfa Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Databricks Solution Architect

Bits In Glass

Toronto, ON • Remote

Full-time

Re-posted 2 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.

Apply