Senior GCP Solution Architect (Data & Analytics)

Senior GCP Solution Architect (Data & Analytics)

Location: Offshore (Remote) - Work Remotely on Projects in the Middle East

We are looking for a highly skilled Senior GCP Solution Architect to lead the design and delivery of enterprise-scale data and analytics solutions. This role requires advanced technical expertise in Google Cloud Platform (GCP), with strong proficiency in Informatica IDMC and Quest Erwin Data Modeler. As a senior leader, you will define strategy, design cutting-edge data platforms, and guide cross-functional teams to deliver secure, scalable, and high-performance solutions that drive business impact.

Key Responsibilities

• Strategic Architecture & Leadership
• Define and own enterprise data architecture strategies and roadmaps on GCP.
• Design and oversee end-to-end solutions for data ingestion, processing, storage, and analytics.
• Provide architectural leadership across multiple initiatives, ensuring compliance with best practices, standards, and security.
• Evaluate and recommend emerging GCP services and third-party tools to meet evolving data demands.
• Identify risks early and develop practical mitigation strategies.
• GCP Data Platform Expertise
• Design, optimize, and implement solutions using core GCP data services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Spanner, SQL, Data Fusion, Composer, Data Catalog).
• Drive cost, performance, and scalability optimization across large datasets and high-throughput workloads.
• Establish robust governance, compliance, and auditing frameworks.
• Lead advanced discussions on capacity planning and resource optimization.
• Architect and lead enterprise-grade ETL/ELT solutions using Cloud Data Integration (CDI).
• Drive adoption of Cloud Data Quality (CDQ) and Cloud Data Profiling for cleansing, standardization, and validation.
• Build and optimize advanced data pipelines and transformations integrating IDMC with GCP.
• Provide best-practice guidance on profiling, cleansing, metadata management, and performance tuning.
• Data Modeling (Erwin)
• Develop and manage enterprise data models (logical & physical) using Quest Erwin Data Modeler.
• Ensure integrity and consistency of data models across warehousing, operational stores, and analytics systems.
• Collaborate with business and technical teams to evolve models based on requirements.
• Data Security & Access Management
• Design and implement access management strategies across GCP and integrated platforms.
• Apply IAM, RBAC, and ABAC principles for secure, compliant access.
• Enforce data encryption (at rest and in transit) and align with regulatory standards.
• Mentor and guide engineering and operations teams.
• Lead design reviews, technical deep-dives, and architectural decisions.
• Stay ahead of industry trends and emerging technologies, driving adoption where relevant.
• Act as a trusted advisor to stakeholders, translating complex technical concepts into business value.

Required Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, or related field (Master’s preferred).
• 12+ years in data architecture/solution design, with 7+ years on GCP in enterprise settings.
• Advanced expertise with Quest Erwin Data Modeler.
• Strong knowledge of data warehousing, lakehouse architectures, dimensional modeling, and ETL/ELT.
• Hands-on coding/scripting (Python, SQL, Java) for automation and orchestration.
• Proven track record in data access management (RBAC, ABAC) and governance.
• Exceptional communication and leadership skills with the ability to influence at all levels.

Preferred Qualifications

• Google Cloud Certified: Professional Cloud Architect and/or Data Engineer.
• Industry experience in real estate data domains (property, leasing, sales, financing).
• Exposure to multi-cloud (AWS, Azure) architectures.
• Experience with DevOps, CI/CD, and Infrastructure-as-Code (Terraform).
• Expertise in MDM, enterprise governance frameworks, and real-time streaming architectures.

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