GCP Data Architect SC Cleard

Overview
Security Cleared Data Architect with hands-on experience in Google Cloud Platform (GCP) and strong domain expertise in Telecom Revenue Assurance.Responsibilities
Architect and implement end-to-end data solutions on Google Cloud Platform (GCP).Design data models, pipelines, and frameworks that ensure consistency and integrity of telecom revenue data.Work closely with Revenue Assurance teams to understand reconciliation and leakage detection requirements.Ensure compliance with security policies and data governance standards in a regulated, cleared environment.Drive data ingestion, transformation, and orchestration across multiple telecom systems and platforms.Provide architectural oversight and technical leadership to engineering and analytics teams.Interface directly with the client during the selection process and project execution.Proficiency with GCP services including BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.Expertise in data modelling, ETL/ELT pipelines, and data integration.Solid programming/scripting experience in SQL, Python, or similar.Experience and expertise in UNIX.Understanding of data governance, security best practices, and regulatory compliance (eg, GDPR).Experience in working with large-scale telecom datasets from OSS/BSS systems.Qualifications
Security clearance as required.Hands-on experience with Google Cloud Platform (GCP).Strong domain expertise in Telecom Revenue Assurance.Proficiency with GCP services including BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.Expertise in data modelling, ETL/ELT pipelines, and data integration.Programming/scripting experience in SQL, Python, or similar; UNIX experience.Understanding of data governance, security best practices, and regulatory compliance (eg, GDPR).Experience with large-scale telecom datasets from OSS/BSS systems.
#J-18808-Ljbffr
Other jobs of interest...
Perform a fresh search...
-
Create your ideal job search criteria by
completing our quick and simple form and
receive daily job alerts tailored to you!