Solutions Architect - Financial Services

Databricks; United States; On-site; USD 161,300 - 225,800; Full time

Job summary

Databricks is seeking a Solutions Architect to lead pre-sales for the Databricks Unified Analytics Platform in a customer-facing role. You will partner with sales, deliver reference architectures, and guide customers from concept through implementation across data engineering, analytics, ML, and AI projects.

You will collaborate with product teams, post-sales, and partners to architect solutions on cloud platforms (AWS, Azure, GCP), evangelize open-source tools, and travel within your territory

Qualifications

• 7+ years in a customer-facing pre-sales or consulting role with big-data tech.
• Experience designing and architecting distributed data systems.
• Proficient in Python, SQL, Scala, Java, or R.
• Experience with public cloud providers (AWS, Azure, GCP).
• Experience with data engineering tech (Spark, Hadoop, Kafka).
• Experience with data warehousing tech (SQL OLTP/OLAP).
• Undergraduate or higher in engineering or mathematics.

Responsibilities

• Lead customer engagements to understand business needs and translate them into scalable data architectures.
• Provide technical leadership to evaluate and adopt Databricks platform solutions.
• Develop and present reference architectures, proofs-of-concept, and solution demonstrations.
• Collaborate with sales, product, and post-sales teams to drive customer success.
• Promote Databricks and open-source technologies across communities and at events.

Skills

Python

SQL

Scala

Java

R

Big data concepts

Education

Engineering or math degree (BS/MS)

Tools

Spark

Hadoop

Kafka

AWS

Azure

GCP

Job description

P-212

While candidates in the listed location(s) are encouraged for this role, other EST locations will be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark, Delta Lake and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with Financial Services customers is a positive differentiator
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) 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. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $161,300 - $225,800 USD
Zone 2 Pay Range $161,300 - $225,800 USD
Zone 3 Pay Range $161,300 - $225,800 USD
Zone 4 Pay Range $161,300 - $225,800 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond e9 Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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 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.