Data Solutions Architect

Key Responsibilities

• Collect, analyze, and structure risk data from unstructured sources
• Build digital forms and workflows for standardized data capture
• Manage and maintain data lakes and platforms (AWS, Databricks, Informatica, MIDAS)
• Ensure seamless data integration and flow across systems and teams
• Translate business requirements into scalable technical solutions
• Partner with data governance teams to implement standards and controls
• Develop and maintain data dictionaries, metadata, and classifications
• Identify and resolve data quality issues and drive remediation
• Improve data maturity and governance frameworks across the enterprise

Must-Have Skills

• Strong experience with AWS and Databricks
• Hands-on expertise in PySpark and Python
• Experience working with Databricks Notebooks and Unity Catalog
• Solid understanding of data governance, metadata, and data quality practices

Nice-to-Have Skills (Not Mandatory)

• Experience with Informatica and MIDAS
• Background in Commercial Insurance / Case Management / IAG
• Exposure to large enterprise data environments
• Detail-oriented with strong hands-on skills (Excel, documentation, email workflows)

Preferred Qualifications

• Experience in financial services or insurance domain
• Familiarity with Agile / SDLC methodologies
• Experience with data profiling, querying (Oracle, DB2, Databricks)
• Ability to work in a fast-paced, high-impact environment