Lead the data engineering squad and oversee the DBA team while driving GCP-based streaming and batch infrastructure projects. Build and review code, establish standards for data quality, testing, observability, governance, and cost optimization, and align data platforms with business goals. The role requires expertise in GCP, BigQuery, dbt, Apache Flink or Dataflow, relational databases, AI-assisted engineering, and team leadership.
About Us
At Félix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.
We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, 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.
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 because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownership over our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious—always experimenting, building the future today, and delivering a product that truly makes our users' lives better.
About the Role
We are looking for a proactive, detail-oriented Data Engineering Manager to lead our core data engineering squad and oversee our DBA team. In this role, you will lead infrastructural platform projects while remaining ready to roll up your sleeves and get your hands dirty alongside your team.
We operate in a GCP-native environment and build with an AI-native mindset—using AI to automate code generation, streamline platform operations, and reduce manual friction so our engineers can focus on architecture and business impact.
Responsibilities
• Engineering & Team Leadership: Lead, scale, and mentor a team of Data Engineers, while providing leadership and high-level management for our DBA team.
• Hands-on Platform Projects: Drive critical infrastructure initiatives across streaming and batch environments using GCP, BigQuery, DBT, and Apache Flink.
• AI-Native Operations: Champion an AI-first engineering culture—embedding AI into how we write pipeline code, operate platforms, and build data access layers.
• Relational & DBA Oversight: Partner with and support our DBA team to ensure transactional database reliability, uptime, and seamless integration with our analytical platform (light technical involvement, heavy strategic alignment).
• Attention to Detail & Standards: Set high standards for data quality, testing, observability, and cost optimization across our cloud resources.
• Business-Driven Value: Focus on why data and metrics exist—aligning pipeline development directly with key business decisions and product goals.
Requirements
• Hands-on Builder Mindset: Proven experience leading data engineering teams with a willingness to write code, review PRs, and tackle complex system problems directly.
• GCP-Native Mastery: Strong background in Google Cloud Platform, specifically BigQuery and cloud data processing.
• Modern Stack Experience: Practical expertise with dbt for transformation models and Apache Flink (or Dataflow) for real-time streaming data.
• AI-Native Mindset: Active user of modern AI coding assistants and automation workflows; passionate about leveraging AI to scale team impact.
• DBA Team Management: Comfort managing relational database teams (e.g., PostgreSQL/MySQL) without needing to perform deep day-to-day DBA execution.
• Rigorous Detail Orientation: High standards for clean architecture, platform governance, and documentation.
• Excellent communication skills and an advanced English level (Spanish speaker is a nice plus!)
These are the applicable requisites, although 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
- Work model: currently fully remote, with a future transition to a hybrid set up
- 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.
Want to learn more about our privacy practices? Check out our Privacy Policy.
Félix (felixpago) San Francisco, California, USA Office
2261 Market Street, San Francisco, CA , United States, 94114
Similar Jobs
Fintech • Financial Services
Lead and mentor data engineering and DBA teams while driving GCP-based streaming and batch data platform initiatives. Oversee BigQuery, dbt, Apache Flink or Dataflow, data quality, testing, observability, governance, reliability, and cloud cost optimization. Remain hands-on with coding, code reviews, architecture, and complex system problems while aligning data infrastructure with business and product goals. Champion AI-assisted engineering and automation across the platform.
Top Skills:
Apache FlinkBigQueryDataflowDbtGoogle Cloud PlatformMySQLPostgres
Fintech • Financial Services
Lead the data engineering squad and oversee the DBA team while remaining hands-on with platform projects. Drive streaming and batch infrastructure using GCP, BigQuery, dbt, and Apache Flink or Dataflow. Establish standards for data quality, testing, observability, governance, documentation, and cloud cost optimization. Promote AI-native engineering practices, ensure transactional database reliability, mentor engineers, and align data platforms with business and product goals.
Top Skills:
Ai Coding AssistantsApache FlinkBigQueryDbtGoogle Cloud DataflowGoogle Cloud Platform (Gcp)MySQLPostgres
Blockchain • Financial Services • Cryptocurrency • Web3
Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.
Top Skills:
Apache FlinkAWSIcebergJavaKafkaPythonRisingwaveScalaSpark
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
