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Data Architect – Databricks, ADF

Role overview

Qualifications

  • 10+ years of overall experience in data architecture
  • 3+ years hands-on experience in Databricks and ADF
  • Deep understanding of insurance business processes, especially Guidewire platforms
  • Experience in client-facing leadership roles

Responsibilities

  • Design, develop, and implement data architecture solutions using Azure Databricks and ADF
  • Lead end-to-end data architecture strategies for insurance clients
  • Engage with clients to understand business requirements and translate them
  • Lead data transformation and modernization programs across the insurance value chain

Key facts

  • Remote from: Anywhere
  • Full time
  • Expert & Leadership (>10 years)
  • Architect (Building)
  • English

Hard skills

Other skills

  • Ingenuity
  • Consultative Approaches

About the company

Spark Tek Inc logo

Spark Tek Inc

IT Services & IT Consulting

We are a team of experts with deep knowledge of various business functions. We aim to provide customized solutions that can be aligned with our customer demands. We provide business consulting services to help you build high performing organizations which are scalable and sustainable. Our reliable solutions have proven success across varied industries along with different growth stages. We are fast expanding industry and domain experts with in depth experience in leadership and global organizations.

Company details

Company typeStartup
IndustryIT Services & IT Consulting
Company size11 - 50

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Job description


Job Title: Data Architect – Databricks, ADF

Location: Remote

Employment Duration : Long Term Contract

About the Role:

seeking a highly skilled Data Architect with strong hands-on experience in Databricks and Azure Data Factory (ADF), combined with deep domain knowledge in the insurance industry—specifically across Guidewire Policy, Billing, and Claims systems. This role requires leadership in client-facing engagements and a proven background with top-tier consulting firms such as Client, Client, or Capgemini.

Key Responsibilities:

  • Design, develop, and implement scalable and secure data architecture solutions using Azure Databricks and Azure Data Factory.
  • Lead end-to-end data architecture strategies for insurance clients, with a strong focus on Guidewire platforms (PolicyCenter, BillingCenter, and ClaimCenter).
  • Engage directly with clients to understand business requirements and translate them into technical data architecture solutions.
  • Lead and manage data transformation and modernization programs across the insurance value chain.
  • Provide architectural oversight and mentorship to development teams working on Azure cloud-based solutions.
  • Collaborate with enterprise architects, data engineers, and BI developers to ensure architectural alignment.
  • Ensure compliance with data governance, security, and privacy policies.

Required Qualifications:

  • 10+ years of overall experience in data architecture, with at least 3+ years in Azure cloud platforms.
  • 3+ years hands-on experience in Databricks and ADF, with strong proficiency in building ETL/ELT pipelines.
  • Deep understanding of insurance business processes, especially:
    • Guidewire PolicyCenter, BillingCenter, and ClaimCenter data models.
  • Experience in client-facing leadership roles; ability to manage stakeholders and drive strategic initiatives.
  • Consulting background with firms such as Client, Client, or Capgemini (preferred or required).
  • Excellent communication, problem-solving, and documentation skills.

Preferred Skills:

  • Azure Synapse, Delta Lake, Power BI, and Azure Data Lake Storage Gen2.
  • Understanding of data governance frameworks and tools like Azure Purview.
  • Familiarity with Agile delivery methodologies.
  • Industry certifications in Azure or Databricks are a plus

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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