Data-driven mobility platform with analytics and customer journey personalization
ARCA runs a data-heavy mobility-as-a-service operation built on Python, Scala, Airflow, and Spark, with modern BI tooling (Metabase, Looker, QuickSight) across AWS, GCP, and Azure. The tech stack and hiring shape—six data roles versus four engineers—indicate a company prioritizing analytics and predictive modeling over infrastructure. Active projects around customer journey personalization, A/B testing, and predictive modeling align with stated pain points in data quality, pipeline reliability, and the absence of predictive analytics for decision-making.
ARCA Mobility as a Service operates a mobility platform targeting the Brazilian market from headquarters in Curitiba, Paraná. The company, founded in 2019, employs 51–200 people with teams distributed across data, engineering, marketing, sales, and finance. Core product initiatives center on customer journey personalization, marketing automation, and data-driven insights—supported by a data pipeline layer (Airflow, Spark, dbt) and business intelligence tooling (Power BI, Metabase, Looker, QuickSight). The organization is actively addressing data governance, pipeline scalability, and customer retention challenges.
ARCA runs Ruby on Rails and Python for backend services, Scala for distributed data processing, and Airflow + Spark for pipeline orchestration. Data storage spans SQL with dbt transformations across AWS, GCP, and Azure. Analytics layer uses Power BI, Metabase, Looker, and QuickSight.
Active projects include predictive modeling for product decisions, data ingestion and transformation pipelines, customer journey personalization, marketing automation, A/B testing frameworks, and BI dashboards. Internal challenges center on pipeline reliability, data quality governance, and building predictive analytics capabilities.
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