Data SME

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

1. Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka.
2. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
3. Data visualization – Tools like Tableau
4. Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
5. Data processing frameworks – Spark & Spark streaming