Solutions Engineer

Databricks Inc.; Toronto; On-site; CAD 99,000 - 153,000; Full time

Job summary

A leading data technology company based in Toronto is seeking a Solutions Engineer to drive customer success through technical expertise in the Databricks platform. Candidates should possess a Bachelor's degree and 2+ years of experience in a solutions engineering role, along with proficiency in programming languages like Python, Java, or Scala. The role is essential in fostering customer relationships and enabling the adoption of big data technologies. Competitive salary within the range of $99,500 — $152,600 CAD offered.

Benefits

Comprehensive benefits and perks

Annual performance bonus

Equity options

Qualifications

• 2+ years of technical experience in a customer-facing solutions engineering role.
• Experience with Big Data technologies (e.g., Spark, Hadoop, Kafka) is a plus.
• Aptitude to interact with customers confidently and professionally.

Responsibilities

• Form successful relationships with customers throughout the assigned territory.
• Develop into a ‘champion’ and trusted advisor on architecture, design, and implementation.
• Scale best practices in the field and support customers by authoring reference architectures.

Skills

Technical experience in customer-facing solutions engineering

Hands-on experience with Python, Java, or Scala

Proficiency in SQL

Experience with Big Data technologies

Education

Bachelor's degree in Computer Science, Data Science, or equivalent

Job description

Overview

Specifically targeting candidates based in Toronto. At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learning how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it.

This will be an in-office role and candidates must be based in Toronto.

Responsibilities

• Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet‑ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What We Look For

• The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience.
• Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
• Experience with Big Data technologies (e.g., Spark, Hadoop, Kafka) and architectures is a plus.
• Aptitude to interact with customers confidently and professionally.
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire.

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 anticipates 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.

$99,500 — $152,600 CAD

Benefits

At 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, please visit https://www.mybenefitsnow.com/databricks.

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.

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.