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Tier-1 employer, metro location, mid-level role increase competition, while GCP data specialization narrows the candidate pool.
Data architecture and GCP platform skills are transferable across industries but require analytics domain experience.
Mandatory GCP service expertise and explicit 3/5 years architecture experience make filtering strict.
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Lead architecture discussions and assessments for BI and analytical product/platform lifecycles focusing on performance efficiency and cost optimization.
Drive development of solution options by translating business capabilities into technical models; oversee creation and maintenance of architecture artifacts and future state documentation.
Lead prototype development, facilitate technical training for junior team members, and guide product teams on modernization initiatives.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related discipline.
Minimum 3 years solution architecture experience with a Master’s degree or 5 years with a Bachelor’s degree.
Hands-on experience with GCP services: Cloud Run, Big Query, Dataform, Cloud Data Fusion, Cloud SQL, and Azure Power BI.
Experience designing high-availability, high-volume, low-latency systems and modern analytics tools and techniques.
Experienced in integrating Google Cloud Platform services into software applications with a solutions architecture focus.
Skilled at bridging long-term strategy and short-term objectives while collaborating cross-functionally with engineers, designers, and product managers.
Familiarity with technical analytic/data solutions, software development lifecycle, and architecture standards such as Ford Architectural standards is an advantage.