Senior Data and Agent Platform Engineer, GCP

🔥 1 hour ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 13%

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Build and maintain batch and streaming data ingestion, transformation, and quality pipelines using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage • Model and organize the Data Lake/Lakehouse in BigQuery and BigLake, including layers, partitioning, and cost and performance optimization • Define data contracts, including schemas, freshness, and SLAs, and monitor source quality and lineage • Prepare data for AI through cleaning, anonymization, chunking, and embedding generation for Vertex AI RAG Engine, Vertex AI Search, and vector stores • Ensure LGPD compliance when handling sensitive health data by applying masking, anonymization, policy tags, and data residency controls • Design cross-project data access using Cloud IAM, Dataplex, BigLake, and Analytics Hub, following the principle of least privilege and maintaining audit trails • Expose data and internal systems as agent tools through MCP servers and MCP Toolbox, supporting integration with Vertex AI Agent Engine and ADK • Maintain MLOps/LLMOps pipelines with Vertex AI Pipelines, including evaluation, guardrails with Model Armor, and monitoring of drift and response quality • Provision data and AI infrastructure as code using Terraform and CI/CD • Track costs by business area, project, and model using billing exports to BigQuery and labels • Implement end-to-end observability with OpenTelemetry, Cloud Logging, Cloud Monitoring, and Cloud Trace • Support resilience and disaster recovery strategies

🎯 Requirements

• Proficiency in Python and SQL • Strong experience in GCP data engineering, including BigQuery, Cloud Storage, Dataflow or Dataproc, and Pub/Sub • Experience orchestrating pipelines with Cloud Composer/Airflow, Cloud Workflows, or similar tools • Knowledge of data governance and security in GCP, including Cloud IAM, Dataplex, policy tags, and Cloud KMS • Knowledge of Terraform and CI/CD, including Cloud Build, GitHub Actions, or similar tools • Hands-on experience in multi-project GCP environments with organizations and folders • Experience with distributed and event-driven systems, including queues, retries, idempotency, and consistency • Experience preparing data for at least one production LLM application using RAG or tool-enabled agents • Knowledge of LGPD as applied to sensitive data, including anonymization and masking techniques • Nice to have: Vertex AI, Gemini, Model Armor, agent frameworks, MCP servers, vector stores, GraphRAG, HL7/FHIR standards, Cloud Healthcare API, Data Mesh, hub-and-spoke architecture, and GCP FinOps • Google Cloud Professional Data Engineer, Professional Machine Learning Engineer, or FinOps Certified Practitioner certifications are a plus • Clear communication with data scientists, AI teams, business stakeholders, and external partners • Strong security discipline and ethical judgment when handling sensitive patient data • Ability to articulate technical trade-offs • Habit of documenting and assigning ownership of pipelines, data sources, and tools across teams

🏖️ Benefits

• Porto Seguro medical insurance, with the option to add a spouse and children • Porto Seguro dental insurance for employees and dependents • Profit Sharing and Results Program (PLR) • Childcare assistance • Alelo food and meal vouchers • Home office allowance • Partnerships with educational institutions, offering discounts and incentives for courses and degree programs • Certification support, including cloud certifications in GCP, Azure, AWS, and other platforms • Livelo points • TotalPass, with discounted gym plans for employees and family members • Mindself, supporting meditation and mindfulness • Ongoing professional development • Collaborative work environment

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