Cloud Database Architect (GCP) at Felix Technologies, Inc.

About Us
At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and stablecoins to make cross-border payments faster, more affordable, and more accessible than ever before.
We are a hyper-growth Series B company, backed by over $100 million in funding from top-tier global investors, including QED, Castle Island, Switch Ventures, HTwenty, Monashees, and General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavour Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award. We are a group of extremely talented and dedicated high-performers, united by our shared obsession with a single goal: empowering our customers. We are all owners of Félix, driven by a bias for action and a true experimentation spirit to get shit done with urgency and focus.Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long. We are a team that is fiercely loyal to each other, where radical transparency and constructive feedback are how we grow and push for excellence. We are bold, we care less about what others are doing, and more about creating sustainable value and a product that truly makes our users' lives better. We are building the future, today.
About the Role
We’re hiring a Cloud Database Architect focused on Google Cloud Platform who will evaluate, design, and operate our data storage layer so it’s fast, reliable, cost-effective, and easy to scale. You’ll be the go-to expert for choosing the right database for each use case (transactional, analytical, real-time, caching), reducing latency, improving operational efficiency, and mentoring the data engineering team on patterns and best practices.
Responsibilities

• Lead evaluation and selection of database technologies on GCP (e.g., BigQuery, Cloud Spanner, AlloyDB, Bigtable, Cloud SQL, Firestore, Memorystore) based on workload requirements (latency, throughput, consistency, storage, cost).
• Design high-performance, low-latency data architectures for OLTP, OLAP, streaming, and hybrid workloads.
• Build and maintain production-grade database solutions: schema design, indexing strategies, partitioning, clustering, query optimization, and caching patterns.
• Reduce application and query latency through profiling, indexing, materialized views, denormalization strategies, caching, and network/infra tuning.
• Partner with data engineering, backend, and product teams to translate business requirements into data models and storage choices.
• Design replication, backup & recovery, disaster recovery, and data retention policies.
• Create operational runbooks, monitoring, alerting, capacity planning, and cost-optimization playbooks for database services.
• Evaluate and introduce new managed services and third-party tools when they clearly improve performance/cost/operability.
• Mentor engineers on database design, SQL performance, ACID vs BASE tradeoffs, and scalable architectural patterns.
• Establish standards and guardrails (IaC, automated tests, deployment processes) for database provisioning and schema changes.
• Present findings and recommendations to engineering leadership; quantify trade-offs (latency, cost, complexity).

Requirements

• 6+ years working with production databases; 3+ years designing systems on Google Cloud Platform.
• Deep, hands-on experience with at least two of: BigQuery, Cloud Spanner, AlloyDB, Bigtable, Cloud SQL (Postgres/MySQL), Firestore.
• Strong SQL skills; experience with query profiling and optimization.
• Proven track record of reducing query and application latency (indexes, partitioning, caching, materialized views, denormalization).
• Experience with streaming and real-time pipelines (Pub/Sub, Dataflow, Kafka) and how storage choices impact them.
• Strong understanding of consistency, transactions, isolation levels and when to choose transactional vs eventually-consistent stores.
• Infrastructure as Code for databases (Terraform, Deployment Manager, or similar) and automated deployments/migrations.
• Monitoring/observability experience: Stackdriver/Cloud Monitoring, Prometheus/Grafana, query logs, slow-query analysis.
• Solid software engineering and data engineering skills: Python/Go/Java for tooling and ETL work.
• Experience with backup/restore, replication, HA setups, and DR planning.
• Equivalent competencies in any of the above will also be considered.

What We Offer

• Competitive salary
• Initial stock options grant
• Annual performance bonus
• Health, dental, and vision plans
• Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
• Continuous learning opportunities
• Unlimited PTO
• Paid parental leave
• Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer
At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
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