We are seeking an experienced Senior Data Architect to lead the design development and implementation of our data architecture strategy. You will be responsible for defining data models frameworks and standards that ensure data quality integrity security and accessibility across the organization. The ideal candidate will have strong technical expertise excellent problem-solving skills and the ability to collaborate with cross-functional Responsibilities:Design develop and implement scalable and efficient data architecture solutions that support business goals and analytics data models data flow diagrams and metadata standards to ensure consistency and accuracy across data the integration of new data sources and manage data migration with Data Engineers Analysts and other stakeholders to understand data requirements and translate them into technical and enforce data governance security and compliance standards in line with industry best practices and and recommend tools technologies and methodologies to improve data architecture and guidance and mentorship to junior data architects and data current with emerging trends and technologies in data architecture cloud computing and big in strategic planning and help drive the organizations data strategy Qualifications:Bachelor or Master degree in Computer Science Information Systems Data Science or related field.7 years of experience in data architecture data engineering or a related expertise in data modeling (conceptual logical physical) and database with data warehousing solutions (e.g. Snowflake Redshift BigQuery).Proficiency with ETL/ELT processes and tools (e.g. Informatica Talend Apache NiFi).Solid understanding of cloud platforms and services (AWS Azure GCP).Hands-on experience with big data technologies (Hadoop Spark) is a with data governance frameworks and regulatory requirements (GDPR CCPA).Excellent communication collaboration and leadership Skills:Experience in building data lakes and data mesh of containerization and orchestration tools (Docker Kubernetes).Understanding of machine learning data pipelines and AI/ML in data architecture or cloud platforms (e.g. AWS Certified Solutions Architect).
Required Experience:
Senior IC