Solutions Architect - Financial Services (Professional Services)

Databricks Inc.; Washington, New York (District of Columbia, NY); On-site; USD 180,000 - 247,500; Full time

Job summary

Databricks Inc. is seeking a Solutions Architect for Financial Services within Professional Services to partner with the sales team and guide customers through Databricks adoption.

You will lead technical evaluations, architecture reviews, and proofs of concept across cloud providers. The role involves building reference implementations, demonstrating applications, and promoting open source projects such as Apache Spark, Delta Lake, MLflow, and Unity Catalog to customer communities.

Qualifications

• 7+ years in a customer-facing pre-sales or consulting role with big-data experience
• Experience designing and architecting distributed data systems
• Comfortable programming in at least one: Python, SQL, Scala, Java, or R
• Experience with global system integrators or financial services tech/data providers
• Experience building solutions on AWS, Azure, or GCP
• Experience with data engineering technologies (Spark, Hadoop, Kafka)
• Experience with data warehousing technologies (SQL, OLTP/OLAP/DSS)
• Undergraduate or higher in engineering or mathematics (CS/Applied Math/EE)

Responsibilities

• 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, execute proofs of concept, and validate integrations with cloud services and 3rd party apps
• Build and present reference architectures, how-tos, and demonstrations for customers
• Become an expert in open source projects like Spark, Delta Lake, MLflow, Unity Catalog, and promote them in communities
• Travel to meet customers in your territory

Skills

Big-data technologies

Distributed data systems

Programming: Python/SQL/Scala/Java/R

Public cloud platforms (AWS/Azure/GCP)

Data engineering tech (Spark, Hadoop,

Education

Engineering or mathematics degree (CS/Applied Math/EE)

Tools

Apache Spark

Hadoop

Kafka

SQL

Job description

Solutions Architect - Financial Services (Professional Services)

Illinois; Massachusetts; New Jersey; New York; Washington, D.C.

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, execute proof of concepts for strategic customer 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 Unity Catalog) 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 global system integrators, consulting organizations, or financial services technology, or financial services data providers 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 .

Local Pay Range

$180,000 — $247,500 USD

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. 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.