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12 Databricks Jobs Hiring in Toronto, ON

Databricks

Solutions Architect

Toronto, ON

Toronto Only As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services.

Databricks Inc.

Solutions Architect

Toronto, ON · On-site

$164.50 - $224/hr

You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The ...

Databricks

Geo Hunter Account Executive

Toronto, ON

SLSQ327R496 As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups ...

Databricks

Lakebase Sales Specialist

Toronto, ON

Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent ...

Databricks

Director, Field Engineering

Toronto, ON

To embody and promote Databricks' customer-obsessed, teamwork and diverse culture * Support increased return on investment of Solutions Architect involvement in sales cycles * Create trust-based ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
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Solutions Architect

Databricks

Toronto, ON

Other

Re-posted 10 days ago

Job description

P-225

Location: Toronto Only

As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

  • You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
  • Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
  • You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
  • Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
  • Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

  • 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
  • Big data engineering (Ex: Spark, Hadoop, Kafka)
  • Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
  • Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
  • Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
  • Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
  • Fluent in SQL and database technology.
  • Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
  • [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • Travel to customers in your region up to 30% of the time.

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