Data Architect

Overview The project aims to standardize the actuarial ecosystem by leveraging a modern data platform to handle large volumes of data across multiple geographies. The solution will be built using AWS, Snowflake, and DBT for data transformation. Key Responsibilities Lead the design and implementation of a secure, scalable data platform using AWS, Snowflake, and DBT. Develop and oversee the architecture for integrating source systems data into a unified platform with proper governance. Assist with the design of the orchestration layer, including workflow engines (e.g., Airflow) and microservices. Oversee the end-to-end pipeline for data ingestion, transformation (via DBT), and loading into target systems. Manage data flows from Admin systems to Data Platform, and from Data platform to Model, ensuring accuracy and consistency. Implement data governance, quality checks, and controls to ensure data accuracy, consistency, and compliance with regulatory requirements. Lead efforts to ensure data security, including encryption, access controls, and adherence to regional data laws. Modernize the orchestration layer by integrating workflow engines, ensuring seamless automation of data movement across systems. Evaluate and recommend the appropriate orchestration technology stack to support the growing needs of the business. Optimize system performance for high-volume data processing, ensuring that the platform is both scalable and cost-effective. Conduct performance tuning for Snowflake and other cloud-based components. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to align technology with business objectives. Provide leadership and mentorship to engineering teams, ensuring the adoption of best practices. Required Skills & Qualifications Technical Expertise: Extensive experience (5+ years) in cloud-based data architecture with AWS, Snowflake, and DBT. Data Engineering: Strong background (10+ years) in designing, implementing and managing data pipelines, including ETL processes and data transformation. Governance & Compliance: Expertise in data governance, quality checks, and regulatory compliance. Security & Performance: Deep understanding of security practices and performance optimization in cloud data platforms. Leadership: Proven experience leading data teams and collaborating with stakeholders to deliver high-impact data solutions. Preferred Qualifications Certifications: AWS Certified Solutions Architect, Snowflake, DBT. Industry Experience: Familiarity with reinsurance or insurance-related data environments. Seniority level Mid-Senior level Employment type Contract Job function Consulting Industries Staffing and Recruiting #J-18808-Ljbffr