GCP Data Architect

Mandatory Skills:


Extensive experience working with GCP Datarelated Services such as Cloud Storage Dataflow Dataproc BigQuery Bigtable
Very strong experience with Google Composer and Apache Airflow; ability to set up monitor and debug a complex environment running a large number of concurrent tasks
Good Exposure to RDBMS / SQL fundamentals

Exposure to Spark Hive GCP Data Fusion GCP Astronomer Pub/Sub Messaging Vertex and the Python Programming Language

Minimum Qualifications:

Bachelor degree in Engineering or Computer Science or equivalent OR Master in Computer Applications or equivalent.

A solid experience and understanding of considerations for large scale architecting solutioning and operationalization of data warehouses data lakes and analytics platforms on GCP is a must.

Create detailed target state technical security data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value proposition



Minimum of 12 years of designing building and operationalizing largescale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties Spark Hive Cloud DataProc Cloud Dataflow Apache Beam/ composer Big Table Cloud BigQuery Cloud PubSub Cloud storage Cloud Functions & GitHub performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloudA solid experience and understanding of considerations for large scale architecting solutioning and operationalization of data warehouses data lakes and analytics platforms on GCP is a must.

Create detailed target state technical security data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value proposition Minimum of 8 years of designing building and operationalizing largescale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties Spark Hive Cloud DataProc Cloud Dataflow Apache Beam/ composer Big Table Cloud BigQuery Cloud PubSub Cloud storage Cloud Functions & GitHub performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloudExperience with Data lake data warehouse ETL build and design Experience with Google Cloud Services such as Streaming Batch Cloud Storage Cloud Dataflow Data Proc DFunc Big Query & Big TableProven ability in one or more of the following programming or scripting languages Python JavaScript Javavvvvvvvvvvvvv