Data Architect

pstronguKey Responsibilities: /u /strong /pulliArchitect scalable data processing and analytics solutions for big data storage, processing, and consumption. /liliClearly, articulate the pros and cons of various technologies and platforms while proposing solutions. /liliPrior experience on cloud platform (AWS/Azure/GCP) /liliDefine architecture, blueprints/patterns, accelerators interoperability standards. /liliDefine data security and data privacy standards for solutions. /liliDrive the evolution of data architecture. /liliLead architectural discussions and design workshops with internal stakeholders. /liliCreate technical documentation. /li /ulpbr / /ppstronguAbout You: /u /strong /pulliYou have a bachelor’s degree in STEM. /liliYou have more than 5+ years of data engineering experience, and 3+ years as a data architect. /liliExtensive hands-on experience in leading large-scale full-cycle enterprise data warehousing (EDW), BI reporting, and dashboard development projects. /liliYou understand the latest database and analytical technologies including data lake/lakehouse architectures and NoSQL storage. /liliYou have a strong understanding of data modelling techniques and are experienced in building domain data models. /liliYou have hands-on experience with designing and tuning ETL/ELT pipelines. /liliYou bring along your excellent SQL and strong hands-on scripting ability. /liliYou have already planned data governance and data security practices. Experience in semantic and metamodeling is a plus. /liliConfidence with Microsoft Azure (or AWS, GCP) platform. /liliPrior engineering experience using modern programming languages (Python, Scala, Java, etc.) is a big plus. /liliPrior experience with designing on-demand analytics systems is a plus. /liliPrior exposure to Databricks is good to have. /li /ulpbr / /ppWe look forward to receiving your application! /p