Senior Data Architect

Job description

We are seeking an experienced Senior Data Architect to lead the design and implementation of enterprise data solutions that enable advanced analytics and AI driven innovation This role will focus on building scalable secure and high performing data architectures leveraging Snowflake AWS cloud services and modern strategies for making data AI ready The ideal candidate will also have strong domain expertise in the Healthcare payer business **Key Responsibilities** **Data Architecture and Strategy** Define and maintain enterprise data architecture standards frameworks and best practices Design and implement data models for transactional analytical and AI driven systems Develop strategies for data integration governance and security across multiple platforms **Cloud and Platform Expertise** Architect and optimize data solutions **on** AWS leveraging services such as S3 Redshift Glue Lambda and EMR Implement and manage Snowflake for data warehousing ensuring performance scalability and cost optimization AI ML Data Enablement Design data pipelines and architectures to make data available for AI ML workloads including feature stores training datasets and inference ready data layers Implement data quality lineage and metadata management to ensure trusted and compliant AI datasets Collaborate with data scientists and ML engineers to ensure data readiness for model training and deployment Establish data versioning and reproducibility practices for AI experiments **Healthcare Domain** Focus Build data solutions that support healthcare payer operations including claims processing enrollment provider networks and regulatory compliance Ensure adherence to HIPAA and other healthcare data privacy and security standards **Collaboration and Leadership** Partner with business stake holders’ data engineers and analytics teams to translate business requirements into technical solutions Provide technical leadership and mentorship to junior architects and engineers **Required Qualifications** Education bachelor’s or master’s degree in computer science information systems or related field Experience8 years in data architecture or related roles Proven experience with Snowflake data modelling performance tuning security Strong hands on experience with AWS cloud services for data engineering and analytics Deep understanding of healthcare payer business processes and regulatory requirements Demonstrated experience in making data available for AI ML including feature engineering data pipelines and integration with ML platforms **Skills** Expertise in SQL data modelling and ETL design Familiarity with modern data integration tools and frameworks Strong knowledge of data governance security and compliance standards **Preferred Qualifications** Experience with data Lakehouse architectures and real time streaming Kafka Kinesis Knowledge of BI tools Tableau Power BI and advanced analytics platforms Certification in AWS and or Snowflake Exposure to ML Ops and AI lifecycle management tools