Databricks

Solutions Architect - Financial Services (Banking and Payments)

Databricks$180K — $247K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • Experience in designing and architecting distributed data systems
  • Proficient in at least one of: Python, Scala, Java, SQL, or R
  • Experience with public cloud providers like AWS, Azure, or GCP
  • Familiar with data engineering technologies (e.g., Spark, Hadoop, Kafka)
  • Knowledge of data warehousing (e.g., SQL, OLTP/OLAP/DSS)
  • Experience with Financial Services clients is a plus

Responsibilities

  • Partner with the sales team to demonstrate Databricks' value to customers
  • Provide technical leadership for evaluating and adopting Databricks
  • Consult on big data architecture and implement proof of concepts
  • Build and present reference architectures and demo applications
  • Become an expert in Databricks open-source projects and promote them in communities
  • Travel to customer locations as needed

Benefits

  • Comprehensive benefits and perks tailored to employee needs
  • Eligibility for annual performance bonuses
  • Opportunities for equity participation
  • Access to professional development resources
  • Flexible work options and programs to support work-life balance
Full Job Description
FEQ327R400 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 and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. 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 references architectures, how-tos, and demo applications for customers - 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 - Travel to customers in your region What we look for: - 7+ years in a customer-facing pre-sales, technical architecture, or consulting role - Experience designing and architecting distributed data systems - Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R - Have built solutions with public cloud providers such as AWS, Azure, or GCP - Data Engineering technologies (Ex: Spark, Hadoop, Kafka) - Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) - Experience supporting Financial Services clients is a plus - [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) 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 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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