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