City of London
Senior Data SME - Job Description Experience : 15+ years Experience in all 4 platforms, Business Platform, Technology platform, Enablement platform, Foundation Platform Business Perspective • Experience as Principal Arch in leading organizations handling customers effectively., • Advanced understanding of Enterprise Architecture principles. Well-versed with the end to end data management philosophies and governance processes fit to business., • Deliver data solutions and integration pipelines in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proof, • Collaborate with cross-functional teams to define and implement cloud strategies that align with business goals, • Participating in architectural discussions and decision-making processes to ensure alignment with business goals and best practices, • Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization Technology Perspective • Worked in multiple large, distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream., • In-depth understanding of data structure principles and data platforms, • Used Architecture tools for modelling. Working experience on Modern data platforms which involves Cloud & related technologies, • Keeps track of industry trends and incorporates new concepts, • Advanced understanding of AI concepts , LLMS, RAG, Agentic apps, • Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines., • Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts, • Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries, • Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies, • Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka., • Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies., • Data visualization – Tools like Tableau, • Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE, • Data processing frameworks – Spark & Spark streaming