Senior Gcp Solution Architect (Data & Analytics)

Nixil; Remote; ZAR 1 100 000 - 1 500 000; Full time

Job summary

A leading technology firm seeks a Senior GCP Solution Architect to design enterprise-scale data and analytics solutions. The ideal candidate will possess extensive experience with Google Cloud Platform and must demonstrate strong leadership and technical skills, particularly in data architecture and Informatica IDMC. This is a great opportunity to influence strategic architectural decisions and lead projects in a remote capacity, engaging with stakeholders and ensuring high performance in cloud environments.

Qualifications

• 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 and ETL/ELT.

Responsibilities

• Lead the design and implementation of GCP data solutions.
• Define enterprise data architecture strategies.
• Evaluate and recommend emerging GCP services.

Skills

Google Cloud Platform expertise

Data architecture design

Informatica IDMC proficiency

Quest Erwin Data Modeler skills

Python coding

SQL knowledge

Java scripting

Strong leadership abilities

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

BigQuery

Dataflow

Quest Erwin Data Modeler

Terraform

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.