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Data & AI Architect — Google Cloud Platform (GCP)
Indeed
Full-time
Onsite
No experience limit
No degree limit
Av. de Burgos, 12, Chamartín, 28036 Madrid, Spain
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Job Summary: We are looking for a senior Data & AI Architect to design, deploy into production, manage client relationships, and lead technical teams on high-impact GCP projects. Key Highlights: 1. Strategic role with high visibility in the Data & AI area 2. Challenging projects with real impact and top-tier clients 3. Training budget and support for certifications **About the job** We are seeking a **senior Data & AI Architect** with a practical mindset and results orientation: someone who not only designs flawless architectures on **GCP**, but also deploys them into production, manages client relationships, and leads the technical team to successful delivery. If you are motivated to take end-to-end responsibility—from architectural definition through governance to project success in production—and wish to contribute to pre-sales and continuous improvement of the practice, this role is for you. You will work as a **technical architect and architectural reference** on high-impact projects, supporting delivery, managing client expectations, and guiding the team toward operational excellence. **Hybrid position based in Madrid with occasional travel.** **What you’ll do day-to-day** * Define and validate solution architecture: select patterns, technologies, and topologies on GCP (BigQuery, BigLake, Dataflow, Pub/Sub, Dataproc, Vertex AI, Dataplex). Produce clear, project-applicable architectural references. * Provide technical leadership to the architecture and delivery team: supervise designs, review critical implementations, drive standards, and deliver technical mentoring for data engineers and ML engineers. * Serve as the primary technical point of contact for the client: facilitate workshops, align expectations, translate business requirements into technical decisions, and ensure deliveries deliver measurable value. * Manage project aspects and governance: collaborate with PMs on planning, risks, and mitigations; define SLAs, access policies, controls, and compliance (IAM, Workload Identity, VPC Service Controls, KMS). * Drive model and pipeline production deployment: support deployments on Vertex AI/alternatives, establish monitoring, testing, and alerting to ensure stable operations. * Contribute to pre-sales and proposals: prepare technical estimates, architectures for RFP/RFI, and participate in demos and PoCs with clients. * Promote continuous improvement and technological evolution: propose cost/performance optimizations (FinOps in BigQuery/Dataflow), and introduce reusable patterns and best practices across the practice. **Essential Requirements** * Minimum 8–10 years of experience in Data, Analytics, or AI projects, in relevant technical roles. * Demonstrable GCP experience: BigQuery, Dataflow, Pub/Sub, Cloud Storage; familiarity with Dataproc/BigLake/Datalex/Dataplex and Vertex AI. * Advanced Python and SQL; Spark experience where applicable. * Experience in data modeling, partitioning, optimization, and cost management in analytical warehouses (BigQuery). * Experience deploying solutions into production and ensuring operational stability and monitoring. * Solid knowledge of GCP security and governance (IAM, Workload Identity, VPC SC, KMS/CMEK). * Proven ability to engage with clients and participate in technical pre-sales. * Advanced Spanish and English. * University degree (Bachelor’s/Master’s) or equivalent demonstrable experience. **Preferred Qualifications** * Google Cloud certifications (Professional Data Engineer, Cloud Architect, ML Engineer). * Experience with Generative AI / RAG / LLMs and semantic search architectures (vector DBs). * Experience in multi-cloud environments or migrations to GCP. * Knowledge of Data Mesh, Data Catalogs, and advanced governance practices. * Experience in cost optimization (FinOps) applied to BigQuery/Dataflow. **Soft Skills** * Demonstrable technical leadership: set standards, make decisions, and elevate team capability through active mentoring. * Client orientation: anticipate needs, negotiate solutions, and prioritize business impact. * Clear and persuasive communication: present technical options and risks focused on decision-making. * Practical project management: collaborate with PMs to plan deliveries, mitigate risks, and meet objectives. * Pragmatic and accountable mindset: choose sustainable, measurable solutions, always prioritizing operability. * Collaboration and knowledge sharing: foster team culture and reusable documentation. **What we offer** * A strategic, highly visible role within the Data & AI practice. * Challenging projects with real impact and top-tier clients. * Training budget and support for certifications. * An advanced technical environment and a strong community of practice. * Hybrid work model (Madrid office + flexibility) and occasional travel. * Competitive compensation package aligned with experience. Bip Iberia, in commitment and alignment with the Comprehensive Law on Equal Treatment and Non-Discrimination, opens all positions to any qualified candidate regardless of age, disability, gender, sexual or political orientation, race, or belief. BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L., with Tax ID B84701903 and contact Liliana.mendoza@bip-group.com, will process the data received upon submission of your application as the Data Controller, for the purpose of managing the current selection process under Article 6.1.b) of the GDPR, as well as for future processes should your profile be of interest, based on consent under Article 6.1.a) of the GDPR. BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. will not share your data with third parties except as required by law. Your CV will be retained for a maximum period of 1 year, after which it will be deleted. You may exercise your rights of access, rectification, erasure, objection, restriction of processing, data portability, and not to be subject to automated decision-making, or obtain further information about the processing of your data by contacting: dpo-bipspain@bip-group.com.

Source:  indeed View original post
David Muñoz
Indeed · HR

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