Data Platform Engineer

About the job About FINN FINN is a fintech company building simple and transparent products that improve financial well-being for underbanked employees. Our core offering gives people access to wages they have already earned, alongside tools to help them manage money better, build savings, access insurance, earn additional income, and use fairer financial services. Founded in 2022, FINN is the largest player in the early wage access space in Southeast Asia and is expanding rapidly into new markets globally. We are looking for ambitious builders who take ownership, move fast, and want to shape products that create meaningful impact in people’s lives. About The Role We're seeking our first Data Platform Engineer to establish and evolve our data infrastructure foundation. This is a unique opportunity to build our data platform from the ground up, starting with essential infrastructure improvements and progressing toward a modern data mesh architecture. You'll be instrumental in transforming how our 50-person FinTech processes and democratizes data across the organization. Responsibilities Immediate Priorities (First 3–6 months) Implement and configure BigQuery policy tagging for data governance and access control — creating Terraform/code templates to allow Data Engineers to create tables with policy tagging configured Set up dbt infrastructure and establish transformation pipelines and best practices — enabling Data Engineers to create and manage their own transformations Design and implement core data pipeline infrastructure for reliable data ingestion and processing Establish monitoring, alerting, and observability for data platform components Create documentation and runbooks for platform operations Platform Building (6–12 months) Design and implement self-service data infrastructure enabling teams to own their data products Build tooling and automation to reduce friction in data pipeline development Establish data quality frameworks and automated testing infrastructure Create platform APIs and interfaces for seamless integration with AWS backend services Implement cost optimization strategies for BigQuery and GCP resources Data Mesh Evolution (12+ months) Lead the transition to data mesh principles, starting with pilot domains Design federated computational governance model Build self-serve data platform capabilities Establish data product thinking and standards across engineering teams Technical Requirements Must Have 3+ years of experience building data infrastructure in cloud environments Strong expertise with GCP BigQuery (partitioning, clustering, policy tags, IAM) Hands-on experience with Infrastructure as Code (Terraform preferred) Proficiency in Python and SQL for data engineering Experience with orchestration tools (Airflow, Prefect, or similar) Understanding of data governance, security, and compliance requirements Strongly Preferred Experience with dbt for data transformation and modeling Knowledge of streaming data pipelines (Pub/Sub, Dataflow) Familiarity with data mesh concepts and domain-driven design Experience in FinTech or regulated industries Background working in startups or scaling environments This is a remote position, any location is welcome #Global What Makes You Successful Builder Mindset: You're energized by creating foundations others will build upon Pragmatic Approach: You can balance perfect architecture with shipping working solutions Strong Communication: You can explain complex technical concepts to diverse stakeholders Self-Directed: You thrive in ambiguity and can define your own roadmap Collaborative Spirit: You enjoy enabling other teams and treating them as customers Our Stack Data Infrastructure: GCP BigQuery, Cloud Storage Backend: AWS services Orchestration: To be determined by you Transformation: dbt (to be implemented) Languages: Python, SQL IaC: Terraform Methodology: Agile/Scrum