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Senior, specialized GCP data architect role at a mid-tier consultancy yields moderate applicant competition.
Cloud data architecture skills are transferable across industries, though fintech consulting experience is advantageous.
Explicit 10-12 years, mandatory GCP experience and specific tech requirements make shortlisting highly strict.
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Lead end-to-end implementations of Google Cloud Platform data platforms, focusing on BigQuery, Pub/Sub, and ETL pipelines.
Architect scalable data ingestion, transformation, and querying workflows to support BI and ML workloads.
Collaborate with cross-functional teams to define roadmaps and mentor junior engineers on GCP best practices.
10-12 years total IT/cloud consulting experience with minimum 5 years hands-on GCP (BigQuery, Pub/Sub, Dataflow/ETL).
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Proven leadership on GCP projects with measurable outcomes (e.g., ETL latency reduction, scalable Pub/Sub).
Strong communication skills for stakeholder management including presentations and agile ceremonies.
Experienced leader capable of managing complex GCP cloud data architecture projects and teams.
Comfortable working across business, product, and engineering stakeholders in fast-paced environments.
Technical depth in GCP ecosystem with ability to enforce best practices in security, cost, and scalability.