These 5 Roles Will GROW In DATA DOMAIN

Summary

Key Points

• —Data Architects are crucial for designing and managing an organization's entire data infrastructure, focusing on long-term planning, data modeling, and ensuring data governance and security. 1:28
• —Data Architects typically require 5+ years of experience and are considered a senior role with competitive salaries. 5:57
• —Data Science Focused AI Engineers build, fine-tune, evaluate, and deploy machine learning and AI models, requiring a strong foundation in data science, ML, deep learning, and LLMs. 10:10
• —Analytics Engineers are well-suited for entry-level candidates with 0-3 years of experience, offering a high demand for skilled individuals despite high competition. 12:09
• —Data Science Focused AI Engineers can be entry-level with around 2 years of experience, facing high competition but also high demand for specialized talent. 12:15
• —Data Engineers are responsible for building and maintaining robust data pipelines and infrastructure, transforming raw data from various sources into usable data destinations like data warehouses or data lakes. 13:24
• —Forward Deployed Engineers (FDEs) are a newer role, acting as liaisons between product companies (like Databricks or Azure) and their clients, helping clients effectively utilize the company's data products and solutions. 25:10
• —Forward Deployed Engineers generally need 2-5 years of experience and have less competition due to the role's novelty. 29:39
• —Analytics Engineers bridge the gap between data analysts and data engineers, focusing on data modeling, ETL/ELT processes, and utilizing tools like DBT to prepare data for analysis and reporting. 31:51
• —Data Engineers can be entry-level (0 years experience) due to the availability of advanced tools and platforms, though competition is high. 33:33