Infosys is seeking a Azure and Databricks Cloud Data Architect. In this role Provide inputs for planning activities to meet non-functional requirements in project - performance engineering track. Participate in customer discussions during requirement analysis with a knowledge of requirements elicitation and analysis tools and techniques like story boarding, use case analysis, agile user stories, to understand system requirements and non-functional requirements.
Required Qualifications:
At least 7 years of Information Technology experience
Hands on experience in architecting Cloud data solutions using Azure Synapse, Databricks, Python, PySpark, SQL
Significant experience with Cloud Data lake technologies and complex data architecture and models. Experience building and managing cloud data platforms.
Strong experience in building data ingestion, data catalog and data analytics framework.
End to end Cloud Data Lake architecture design & implementation including data ingestion, data modeling and data distribution.
Build data integrations between on-prem/cloud-based systems.
Good experience in end-to-end implementation of data warehouse and data marts
Experience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loads
Experience designing and implementing complex solutions for distributed systems
Good to have experience in Snowflake
Experience in leading and mentoring teams in onshore-offshore model.
Preferred Qualifications:
Good understanding of data integration, data quality and data architecture
Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
Strong knowledge and hands-on experience in SQL, Unix shell scripting
Good understanding of Agile software development frameworks
Strong communication and Analytical skills
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
Experience and desire to work in a global delivery environment