Platform Engineer III

Job Summary

Experience in all 4 platforms, Business Platform, Technology platform, Enablement platform, Foundation Platform

Key Responsibilities

• 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

Skill Requirements

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 Data Stage, 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- ## Other Requirements

• Published white papers in recognized forums

• Knowledgeable in ROI and benefits analysis

• Very good presentation/Articulation skills

• Awareness of Security concerns while designing enterprise applications

• Creative problem-solver with strong communication skills

• Show an awareness of opportunities for innovation with new tools and uses of data

• They should also demonstrate strong decision-making abilities, prioritize tasks, and manage resources effectively to ensure successful project outcomes.

• Data processing frameworks – Spark & Spark streaming