Solutions Architect - Financial Services

Databricks Inc.; Toronto; On-site; CAD 160,000 - 247,000; Full time

Job summary

A leading data and AI company is looking for a Solutions Architect to partner with customers in designing scalable data architectures. The role involves engaging with technical leads, establishing best practices for the Databricks Lakehouse architecture, and contributing to customer projects. Ideal candidates have extensive experience in technical architecture, data science, and fluent SQL skills. Competitive compensation, including bonuses and benefits, is offered.

Benefits

Comprehensive benefits

Annual performance bonuses

Equity options

Qualifications

• 5+ years in a customer-facing pre-sales, technical architecture or consulting role.
• Experience translating a customer's business needs to technology solutions.
• Expected to design and present data systems.

Responsibilities

• Develop account strategies for assigned accounts to grow platform usage.
• Establish the Databricks Lakehouse architecture as the standard.
• Consult on big data architectures and data engineering pipelines.

Skills

Customer-facing pre-sales experience

Technical architecture expertise

Fluent in SQL

Debug and development experience in Python

Data Warehousing & ETL

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Job description

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 that demonstrate 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, 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, landing 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 third-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 :
• Data Warehousing & ETL (e.g., SQL, OLTP / OLAP / DSS)
• Data Science and Machine Learning (e.g., pandas, scikit-learn, HPO)
• Data Applications (e.g., 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.
• 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, experience, relevant certifications, and work location. Databricks anticipates utilizing the full range. The total compensation may include annual performance bonuses, equity, and benefits.

160,500 — $246,100 CAD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Headquartered in San Francisco with offices globally, Databricks was founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Benefits

We strive to provide comprehensive benefits and perks to meet our employees' needs. For regional benefits details, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

We are dedicated to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. We consider applicants without regard to age, race, gender identity, ethnicity, disability, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for your role, the employer may apply for a U.S. government license or decline to proceed with your application based on this requirement.

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