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Solutions Architect - Financial Services (Insurance)

DatabricksGeorgia; Massachusetts; New Jersey; New York; Washington, D.C.
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

The ideal candidate will possess a strong background in software architecture, data engineering, and financial services, with specific experience in insurance. Key qualifications include:Proven experience as a Solutions Architect or similar role in the financial services domain. Strong understanding of data platforms, analytics, and cloud technologies. Ability to translate complex technical concepts into actionable strategies. Excellent communication and interpersonal skills, with a focus on client engagement. Experience with agile methodologies and project management.

About the job

Databricks is hiring a Solutions Architect focused on Financial Services, with an emphasis on the insurance industry. This position is open in Georgia, Massachusetts, New Jersey, New York, and Washington, D. C.

What You Will Do

  • Design and implement technical solutions for insurance clients, drawing on both industry experience and technical skills.
  • Work closely with cross-functional teams to deliver solutions that address client requirements and improve how they operate.
  • Guide clients as they modernize their technology, helping them navigate digital transformation projects.

Who We’re Looking For

  • Strong technical background in solutions architecture, ideally within the insurance or broader financial services sector.
  • Experience collaborating with multiple teams to deliver client-focused results.
  • Interest in applying new technologies to real-world business challenges.

About Databricks

Databricks is a leading data and AI company that provides a unified analytics platform for data scientists, data engineers, and business analysts. Our mission is to accelerate innovation by unifying data science, engineering, and business. With a strong focus on the financial services industry, we empower organizations to harness the power of their data for better decision-making and operational excellence.

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