Data Solution Architect – Reading, PA (Hybrid Onsite)

Role: Data Solution Architect

Location: Reading, PA (Hybrid Onsite)

Experience: 15+ Years

Client: Virtusa/Telco

Responsibilities:

* 14+ years of experience in IT

* 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required

* 10+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud.

* 7+ years of experience collaborating with Agile teams preferred

* Expertise in designing, validating, and implementing multiple projects across the hybrid infrastructure (On-cloud to On-

Premises and vice versa)

* Expertise in setting up Data Lakes and analytical environments

* Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka

Premises and vice versa)

* Expertise in setting up Data Lakes and analytical environments

* Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, AP’s, Talend and BODS, etc.

* Expertise with relational SQL and NoSQL databases

* Experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and Datamarts.

* Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management

* Strong experience with data modelling techniques utilizing tools such as Erwin, ER Studio etc.

* Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.

Experience in message queuing, stream processing, and highly scalable ‘b