Senior Enterprise Data Warehouse Architect
Confirmed live in the last 24 hours
Argo Group

1,001-5,000 employees

Company Overview
Argo Group is a U.S.-focused underwriter of specialty insurance products in the property and casualty market. We offer a full line of products and services designed to meet the unique coverage and claims-handling needs of businesses. Since 1957, we share a firm commitment to working together with independent agents, wholesale brokers and retail brokerage partners to deliver innovative products for niche markets. Headquartered in Bermuda, we’re a diverse company with multiple offices in the United States. Our belief that the company’s success is linked to our employees drives our commitment to creating an environment and culture of respect where everyone can thrive. We value helping the communities around us, growing alongside our employees through innovation and creating a workplace with work-life balance.
Financial Services

Company Stage


Total Funding





Pembroke, Bermuda

Growth & Insights

6 month growth


1 year growth


2 year growth

Chicago, IL, USA
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data & Analytics
  • 10+ years professional work experience in delivering data and analytics solutions
  • At Minimum 3+ year of experience in P&C Insurance
  • At Minimum 3+ year of experience with data Modeling tools like Spark, Erwin Data Modeler
  • Experienced in Data Warehousing/Analytic end to end architecture
  • Comfortable with different modelling methodologies - 3NF, Dimensional and Data Vault
  • Abreast of the latest industry developments across data, including machine learning and modern algorithmic techniques at scale
  • Strong communication and influencing skills used to drive the implementation of data design best practice at the Engineering and Product Manager levels within and across teams
  • Curiosity and drive to understand business processes and the data they generate in addition to the opportunities to structure and use this data to drive business value
  • Working with a variety of colleagues, including Product Owners and the Engineering community, to ensure the best data solutions are delivered
  • Developing and enhancing business physical data models in line with new requirements
  • Draws conclusions and effectively communicates findings with both technical and non-technical team members
  • Defining and owning modelling within a delivery team from a physical perspective on a day-to-day basis
  • Ensuring the data models developed meet the appropriate standards and principles
  • Creating solutions that meet business needs and move towards end state architecture
  • Ensuring data models are documented, communicated, updated and centrally managed in an appropriate manner
  • Collaborates with Data Governance to define data/information standards for enterprise warehouse repository
  • Collaborates with Data Governance to help define metadata management to manage all enterprise information architecture project artifacts
  • Working with the broader architecture community of practice to support architects and teams in other domains; sharing personal learning and expertise, and sharing plans to promote alignment and innovation
  • Experience with modern data Modeling tools like Spark, Erwin Data Modeler
  • Experience with cloud data warehouse (like Snowflake, AWS-Redshift..)
  • Experience with Realtime integration and db Log replication architectures like Qlik (Attunity) replicate
  • Experience with Cloud native ETL tools like - Talend, Informatica