Databricks

3 days ago

Solutions Architect - Financial Services (Banking and Payments)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Lead customer-facing solutions for the Databricks Unified Analytics Platform by partnering with sales and post-sales teams to identify use cases, design architectures, and guide implementations. Provide technical leadership for distributed data systems, proof of concepts, integrations, and data science/ML initiatives. Build and present reference architectures, demos, and how-tos, while promoting Databricks open-source projects. Travel to customers in your region.

Location: Chicago, Dallas, Denver, Los Angeles, San Francisco, Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with the sales team to help customers understand how Databricks solves business problems.
•Provide technical leadership to help customers evaluate and adopt Databricks.
•Consult on big data architecture, implement proof of concepts, and validate integrations with cloud services and third-party applications.
•Build and present reference architectures, how-tos, and demo applications for customers.
•Become an expert in and promote Databricks-inspired open-source projects across developer communities, and travel to customers in your region.

Pay and Benefits

Salary: USD 180,000 - 247,500

Equity and Bonus:Equity

Key Requirements

•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.
•Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
•Data engineering technologies (e.g., Spark, Hadoop, Kafka) and data warehousing (e.g., SQL, OLTP/OLAP/DSS).

Experience:7+ yearsFinancial servicesData engineeringBig dataMachine learningDistributed systemsSaaS

Education:

Skills:Technical leadershipCustomer-facing advisoryProgramming and debuggingBuilding proof of conceptsRelationship building

Languages:English

Tech Stack:Apache SparkMLflowDelta LakeKoalasHadoopKafkaPythonScalaJavaSQLRAWSAzureGCPOLTPOLAPDSS

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

3 days ago

Solutions Architect - Financial Services (Banking and Payments)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Chicago, Dallas, Denver, Los Angeles, San Francisco, Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with the sales team to help customers understand how Databricks solves business problems.
•Provide technical leadership to help customers evaluate and adopt Databricks.
•Consult on big data architecture, implement proof of concepts, and validate integrations with cloud services and third-party applications.
•Build and present reference architectures, how-tos, and demo applications for customers.
•Become an expert in and promote Databricks-inspired open-source projects across developer communities, and travel to customers in your region.

Pay and Benefits

Salary: USD 180,000 - 247,500

Equity and Bonus:Equity

Key Requirements

•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.
•Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
•Data engineering technologies (e.g., Spark, Hadoop, Kafka) and data warehousing (e.g., SQL, OLTP/OLAP/DSS).

Experience:7+ yearsFinancial servicesData engineeringBig dataMachine learningDistributed systemsSaaS

Education:

Skills:Technical leadershipCustomer-facing advisoryProgramming and debuggingBuilding proof of conceptsRelationship building

Languages:English

Tech Stack:Apache SparkMLflowDelta LakeKoalasHadoopKafkaPythonScalaJavaSQLRAWSAzureGCPOLTPOLAPDSS

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn