Data Platform Engineer

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. 

What You'll Do

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