Data ArchitectSeeking a well-seasoned, top notch Data Architect with 12-15 years of overall experience and at least 5 years in data architecture. The ideal candidate will have robust expertise in AWS cloud, Snowflake data warehousing, data modelling, ETL/ELT processes, and AI Technologies. They should possess a proven track record in setting up enterprise data strategies encompassing data security, governance, analytics, and creating strategic roadmaps.Key Responsibilities:Design and implement robust data architectures and strategies aligned with organizational goals.Leverage AWS and Snowflake to build scalable, high-performance data solutions-MUST.Develop data models, design and implement ETL/ELT pipelines, and ensure seamless data integration across systems.Establish comprehensive data strategies, focusing on data security, governance, and analytics.Utilize Databricks, PySpark, and related tools to enable AI-driven insights and analytics.
Should be able to create AI roadmap.Develop and enforce data governance policies and frameworks.Collaborate with cross-functional teams and articulate complex data strategies clearly to stakeholders.Required Skills:Technical: Cloud: AWS, DWH Solutions: Snowflake, Data Integration: ETL/ELT design and development, Data Modeling: Conceptual, logical, and physical data modeling, AI & Analytics: Databricks, PySpark, Data Security & GovernanceSoft skills: Excellent communication and presentation skills, Strong analytical and problem-solving capabilities, Ability to articulate technical concepts to non-technical stakeholdersQualifications:Bachelor's/master's degree in computer science, Information Technology, or a related field. 12-15 years of overall IT experience with at least 5 years in a data architect role. Certifications in AWS, Snowflake, or relevant data architecture domains are a plus.