Address
Form of work PositionAWS Cloud ArchitectJob LocationPhiladelphia, PAJob TypeFulltime - 2 Interview TypeVirtusa Interview + Client InterviewJob DescriptionRole & Responsibilities
Skills & Experience
Must Have:
Nice to Have:
- A customer-centric and energetic person that can lead complex cloud transformation for Virtusa's client(s) in US.
- Lead and create E2E technical solution, roadmap of Cloud transformation of on-premise Data Warehouse and Hadoop data lake to next gen Cloud technologies.
- Work with the client architects in solution definition and adoption.
- Work with Virtusa technology partners in undertesting latest technology trends and offerings and incorporate them in solutions for clients.
Skills & Experience
Must Have:
- Minimum of 10 years of experience in data architecture and technology
- Minimum of 6 years of hands on experience in architecture of modern data platforms using technologies such as Big Data and Cloud
- Hands on experience of leading large-scale full-cycle Cloud migration of MPP EDW to AWS
- Must have executed 2-3 large data engagements from inception to production as an architect
- Strong AWS DW architecture knowledge and at least 4-5 years' experience of AWS cloud DW like Redshift, Snowflake
- Strong knowledge of Cloud Computing and ETL/Data processing technologies like Informatica, Talend, Spark, Hive, Pig, Kafka
- Experience in building and/or using customized enterprise data ingestion and transformation frameworks
- Experience in working on Hadoop technologies like Hortonworks, Cloudera
- Deep understanding of database and analytical technologies in the industry including MPP databases (Teradata), NoSQL storage, Data Warehouse design, BI reporting and Dashboard development.
- Strong data modelling experience
- Strong communication and client management skills
- Certification in AWS Cloud Architecture
Nice to Have:
- Experience in Telco domain
- Expertise in scripting technologies like Python/R
- Hands on experience in Visualization tools like Qlik, Tableau, Power BI
- Experience in Azure, GCP Cloud and Big Data transformations
- Working knowledge in one or more of following – MongoDb, Cassandra
- Experience in Data Governance consulting and implementation of Data Quality frameworks, Metadata management, Data Catalog and Data Lineage
- Knowledge of AI/Client and Data Science concepts and techniques
