AWS Data Architect Princeton NJ Hybrid

Role: AWS Data Architect

Years of Experience: 10 years

Travel Required: Yes

Location: Princeton NJ (Hybrid)

Your responsibilities in this role will include:

Over 10 years of IT experience.

Conversant with AWS technology stack with hands and technical expertise to hold discussion with senior stakeholder (both business and IT).

Deep expertise in specific technologies like Redshift Pyspark Glue file storage systems.

Architect level Certifications on AWS (one other cloud will be preferred).

Strong conceptual knowledge of Data Warehouse experience with endtoend project of data lake using AWS.

Preferred to have experience with data projects in Pharma domain.

Experience with large data sets data processing at scale involving structured semistructured and unstructured data formats.

Experience working with data connectors for APIs Kafka batch processing.

Experience in Redshift performance tuning.

Understanding of AWS Infrastructure resources will be preferred.

Experience in implementing CICD pipeline for AWS project.

Experience with DevSecOps involving Databricks and various AWS components.

Good in communication and problem solving.

Very good understanding of Data Lake concepts Data Lakehouse architecture and worked on at least 1 end to end project of data lake using AWS.

Analysing planning and defining data architecture framework including security reference data governance metadata and master data.

Very strong communication skills.

Should be able to articulate and persuade clients with the right approach.

Very proficient with emerging technologies in Data engineering space.