Data Architect

$126,922 - $198,328/Yr

Capgemini - Des Plaines, IL

Full-time - Mid Level

Des Plaines, IL

Professional, Scientific, and Technical Services

About the position

As a Data Architect, you will play a crucial role in translating business strategies into technology visions and blueprints. This position involves close collaboration with business, architecture, and development teams to identify and mitigate technical risks while ensuring alignment with business objectives. The ideal candidate will have extensive experience in data engineering, particularly with Snowflake and AWS data services, and will be responsible for overseeing data management solutions throughout their lifecycle.

Responsibilities

• Collaborate with Business, Architecture, and Development leaders to translate business strategy into technology vision.
• Identify and resolve technical risks using Agile spikes and Proof of Concept activities.
• Work with development teams to transition designs into code solutions.
• Engage in all phases of the data management lifecycle, including gathering requirements and processing data.
• Develop and maintain technical systems for data reporting and solutions using emerging technologies.
• Lead the design, build, and management of data pipelines, including data transformation and workload management.
• Review and provide feedback on data models and design considerations.
• Document and socialize findings on technology product evaluations and educate teams on technology options.
• Mentor and coach engineers, providing business inputs and feedback to leadership.
• Ensure effective data management, metadata management, and data quality processes are built by teams.

Requirements

• Strong experience with Snowflake and AWS data services.
• Expertise in architecting, designing, coding, and testing data solutions.
• Deep understanding of property and casualty insurance and modern cloud software development technologies.
• Experience with SQL and No-SQL databases.
• Ability to gather and analyze requirements and manage data throughout its lifecycle.

Nice-to-haves

• Experience with large scale distributed processing systems.
• Knowledge of secure data management and information governance.

Benefits

• Dental insurance
• Retirement plan
• Vision insurance