Job ID: JOB_ID_2411
Role Overview: Google Cloud Data Architect
TestingXperts is seeking a highly experienced Google Cloud Data Architect to lead a critical Identity & Access Management (IAM) Data Modernization initiative. This high-impact role involves spearheading the migration of a massive on-premises SQL data warehouse to a target-state Data Lake on Google Cloud Platform (GCP). The successful candidate will be responsible for designing a scalable, performant, and secure data ecosystem that enables advanced metrics, reporting, and cutting-edge GenAI use cases, including natural language querying and cross-domain trend analysis.
Project Scope and Objectives
The IAM Data Modernization project is a cornerstone of our client’s digital transformation strategy. You will oversee the integration of over 30 source system data ingestions and manage multiple downstream integrations. The goal is to establish a single source of truth for enterprise-wide data-driven decision-making. Key project highlights include:
- Migration of legacy on-premises SQL environments to a modern GCP Data Lake.
- Implementation of Bronze/Silver/Gold layered data architectures.
- Enabling GenAI capabilities such as accelerated summarization and pattern analysis.
- Developing a highly available semantic layer with historical data support.
- Ensuring a unified data strategy across diverse cyber domains.
Technical Requirements and Responsibilities
As a Senior Architect, you will be expected to demonstrate mastery over the following domains:
Data Lake Architecture & Storage
- Design and implement robust data lake architectures using GCS.
- Define bucket layouts, naming conventions, and lifecycle policies.
- Apply expertise in Hadoop/HDFS architecture and distributed file systems.
- Optimize data storage using columnar formats like Parquet, Avro, and ORC.
- Develop partitioning strategies and backfill mechanisms for large-scale data.
Data Ingestion & Orchestration
- Build complex batch and streaming pipelines using GCP-native services.
- Design Pub/Sub-based streaming architectures and event schemas.
- Implement Change Data Capture (CDC) patterns and ensure idempotency.
- Utilize Cloud Composer (Airflow) for sophisticated workflow orchestration.
- Create resilient error handling and replay mechanisms.
Data Processing & Transformation
- Develop scalable pipelines using Dataflow (Apache Beam) and Dataproc (Spark).
- Optimize BigQuery SQL for performance, cost control, and clustering.
- Maintain advanced Python codebases for data engineering tasks.
- Manage schema evolution to minimize downstream impact.
Governance, Security & Compliance
- Implement data catalogs, metadata management, and ownership models.
- Enforce data quality frameworks, including validation and freshness checks.
- Design IAM and security best practices using least-privilege access.
- Manage VPC networking, private access patterns, and encryption (KMS/CMEK).
- Ensure compliance readiness and audit logging across the platform.
DevOps & Reliability
- Build CI/CD pipelines for data and infrastructure workloads.
- Manage secrets securely using GCP Secret Manager.
- Define and monitor SLOs, dashboards, and alerting systems.
- Maintain platform reliability through rigorous logging and runbook development.
Special Requirements
Only Visa Independent candidates (USC/GC/etc.). Requires 4 days onsite in Dallas, TX. Domain focus: Identity & Access Management (IAM) Data Modernization. Google Cloud Professional Cloud Architect certification required or obtainable within 3 months.
Compensation & Location
Salary: $190,000 – $260,000 per year (Estimated)
Location: Dallas, TX
Recruiter / Company – Contact Information
Recruiter / Employer: TestingXperts
Email: rani.alugu@testingxperts.com
Recruiter Notice:
To remove this job posting, please send an email from
rani.alugu@testingxperts.com with the subject:
DELETE_JOB_ID_2411