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Senior GCP Solution Architect (Data & Analytics)

Senior GCP Solution Architect (Data & Analytics)

NixilWorkFromHome, Mpumalanga, South Africa
30+ days ago
Job description

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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