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We are looking for a visionary Data Architect who can translate enterprise data into scalable, reliable, and AI-driven architectures. If you have a strong foundation in data modeling, cloud data platforms, and data modernization, and are excited about integrating Generative AI (GenAI) to unlock predictive insights, this role is for you. This is an opportunity for someone who thrives at the intersection of enterprise strategy, advanced analytics, and next-generation AI adoption.
Job Responsibility:
Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption
Requirements:
Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
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