Senior FinTech Data & AI Solutions Architect

Databricks Inc.

Atlanta (GA)

On-site

USD 180,000 - 248,000

Full time

3 days ago
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Job summary

Databricks Inc. is seeking Solutions Architects to drive adoption of the Unified Analytics Platform.

You will partner with sales, customers, and post-sales teams to translate business problems into scalable data architectures using Spark, Delta Lake, and cloud services. This is a highly visible, customer-facing role requiring deep expertise in distributed data systems, cloud platforms, and data engineering.

Qualifications

  • 7+ years in a customer-facing pre-sales, technical architecture, or consulting role.
  • Experience designing and architecting distributed data systems.
  • Comfortable programming in 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 (Spark, Hadoop, Kafka).

Responsibilities

  • Lead technical conversations with customers to evaluate needs and propose architecture.
  • Design and present reference architectures and best practices.
  • Develop proofs of concept and validate integrations with cloud services and third-party apps.
  • Collaborate with sales, post-sales, and product teams to deliver solutions.
  • Promote Databricks open-source projects across developer communities and at events.

Skills

Customer-facing experience
Distributed data systems design
Cloud platforms experience
Programming: Python/Scala/Java/SQL/R
Data warehousing (SQL/OLTP/OLAP/DSS)

Education

Quantitative degree (CS/Applied Math/OR)

Tools

Spark
Hadoop
Kafka

Job description

Databricks Inc. is seeking Solutions Architects to drive adoption of the Unified Analytics Platform.

You will partner with sales, customers, and post-sales teams to translate business problems into scalable data architectures using Spark, Delta Lake, and cloud services. This is a highly visible, customer-facing role requiring deep expertise in distributed data systems, cloud platforms, and data engineering.

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