Find jobs
Pricing
Free Resume Checker
Blog
Sign in
Sign up
FIND JOBSPRICINGFREE RESUME CHECKERBLOGSIGN INSIGN UP
Jobs
/Solutions Engineer jobs
Databricks

Solutions Architect

SalaryCA$165k – CA$224k
LocationCanada, Toronto
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentField Engineering
EquityIncluded
Company size5,001–10,000 people
PostedApr 5, 2022 · 4y ago
Verified live12h ago
May no longer be actively hiring
First seen on the company's careers page 214 days ago50% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Must have5
5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of big data engineering (Spark, Hadoop, Kafka), data warehousing & ETL (SQL, OLTP/OLAP/DSS), data science and machine learning (pandas, scikit-learn, HPO), or data applications (Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis).
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 Python, Scala, Java, or R.
Nice to have2
Built solutions with public cloud providers such as AWS, Azure, or GCP.
Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
Eligibility1
Travel to customers in your region up to 30% of the time.
Skills
Python
Scala
Java
R
SQL
Spark
Hadoop
Kafka
pandas
scikit-learn
AWS
Azure
GCP
Benefits
Annual performance bonus
Equity
P-225
Location: Toronto Only
About the role
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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Canada Pay Range
$164,500—$224,000 CAD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
More roles at Databricks
Digital Native Account Executive, ThailandSolutions ArchitectStrategic Hunter Account ExecutiveNamed Core Account ExecutiveSr. Delivery Solutions Architect
Seekless
Seek less: one search across companies' own career pages, instead of a dozen job boards.
Product
Find jobsCompaniesPricingFree Resume Checker
Company
AboutBlog
Legal
PrivacyTermsCookies
© 2026 SEEKLESS. ALL RIGHTS RESERVED.BUILT WITH CARE