Data Solution Architect - Databricks

Insight Global
Sarasota, FL, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Cloud Computing Cloud Database Data Architecture Information Engineering Data Transformation Data Systems DevOps IBM Cognos Business Intelligence Power BI
+10 more
Tableau (Software) Enterprise Data Management Cloud Platform System Apache Spark AI Platforms Pyspark Qlikview Data Management Data Pipelines Databricks

Job description

A client of Insight Global is looking for a Senior Data Architecture Delivery Specialist to support enterprise data modernization and cloud transformation initiatives. This individual will serve as a senior technical leader responsible for designing, guiding, and helping deliver scalable, cloud-based data platforms, with a strong emphasis on Databricks, data engineering, and data architecture.

This role partners closely with business stakeholders, Agile delivery teams, and the Enterprise Architecture organization to design and implement end-to-end data solutions that support analytics, reporting, and future advanced capabilities. The ideal candidate brings deep hands-on experience building and operating enterprise data platforms in the cloud and is comfortable balancing architecture leadership with practical, hands-on engineering work. This opportunity is hybrid, 3 days in office and 2 remote in Bradenton, FL. Salary $150k-200k

Day-to-Day

  • Partner with business and Agile teams to define data, ML, and AI requirements

  • Lead architecture and design for cloud-based data and AI platforms

  • Drive data modernization and cloud migration initiatives

Requirements

  • 15+ years in data engineering / data modeling

  • 5+ years in a senior or architecture-focused role

  • 5+ years of hands-on experience designing and operating enterprise cloud data platforms on Databricks, including end-to-end data pipelines (ingestion, transformation, and consumption), Databricks workspace deployment and administration, strong PySpark and Lakehouse architecture experience, and practical exposure to ML workloads, DevOps, and cloud infrastructure

  • Preferred in P&C Insurance company alignment

  • Solid cloud experience (AWS preferred)

  • Background with MDM or previous work structuring an MDM

  • Broad understanding of BI tools

Excellent communication and stakeholder collaboration skills * Databricks / Spark certifications

  • Experience with Informatica MDM, Lake Fusion, Verato

  • BI tools: Power BI, Tableau, Cognos, Qlik, sigma

  • AWS architecture or AI certifications

  • AI and ML apps

  • Delivering AI solutions for P&C insurance

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