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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