Presales GCP Data Cloud Solution Architect

Role:

Employment Type:

Summary:

presales GCP Data Cloud Solution Architect

Scope / Level of Decision Making:

exempt position

Required Skills & Experience:

• 8+ years of experience

  in

  data architecture, data modelling,

  and

  enterprise data management

  , with a strong focus on

  cloud-native

  and

  hybrid data solutions

  .
• Proven

  hands-on expertise in solution design

  , leveraging both

  free and commercial tools

  to deliver scalable, secure, and cost-effective

  GCP Data Cloud

  solutions.
• Deep knowledge of

  Google Cloud Platform (GCP)

  services, including

  BigQuery, Dataflow, Pub/Sub, Dataproc

  ,

  Cloud Composer

  , and

  Looker

  ; additional exposure to

  AWS

  is a plus.
• Strong background in

  data warehousing modernisation,

  including migration from legacy platforms (e.g., Teradata, Oracle, Netezza) to

  BigQuery

  or other GCP-native solutions.
• Proficient in

  SQL

  and Python and familiar with languages such as

  Java

  and

  Scala

  for data engineering and pipeline orchestration.
• Expertise in designing and implementing

  ETL/ELT pipelines

  , leveraging

  CI/CD

  ,

  Infrastructure-as-Code (IaC)

  , and

  automated deployment tools

  (e.g., Terraform, Cloud Build, GitLab CI).
• Solid understanding of

  data governance

  ,

  security best practices

  ,

  access controls

  , and

  regulatory compliance

  in cloud-based environments.
• Extensive

  pre-sales experience

  , including

  solutioning, effort estimation, client workshops

  , and

  technical presentations

  for C-level executives and key stakeholders.
• Outstanding

  presentation, communication

  , and

  stakeholder management

  skills with the ability to bridge business needs and technical execution.
• Demonstrated ability to lead

  proof-of-concept (PoC) projects

  , respond to

  RFPs/RFIs

  , and create compelling

  solution architectures

  that align with client goals.
• Comfortable working in

  fast-paced, matrixed environments

  , managing

  multiple priorities

  and meeting

  tight deadlines

  with precision.

Education:

Bachelor's degree in computer science, information systems, or a related field (or equivalent experience required).

Travel Expectation:

Up to 15% for client engagements and technical workshops.