Engineering Manager - Data Platform
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Experteer Overview As Engineering Manager for Addepar’s Data Platform, you will lead hands-on delivery of scalable data and AI services, shaping the architecture and working with cross-functional partners to accelerate velocity. You’ll mentor and grow a global engineering team while implementing lakehouse-oriented solutions that power enterprise-grade data workflows. You contribute to the next generation platform interface to enable seamless AI-enabled development. This role blends technical leadership with people leadership in a mission-driven data platform for finance. Pay / Benefits * Build and own end-to-end services that scale to enterprise needs * Provide architectural input and guidance to improve platform velocity * Collaborate with engineering and product stakeholders to ship data and AI features * Manage and grow a global, mixed-experience team and keep them productive * Support the global operating model for data and infrastructure across Addepar’s platform * Contribute to greenfield projects advancing lakehouse capabilities * Shape the next-generation interface to enable seamless AI-enabled development Tasks * Bachelor in Computer Science or equivalent experience * At least five years of experience * Deep experience with cloud infrastructure and infrastructure as code (Terraform) on AWS * Strong programming skills in Java or Python * Experience with datastores such as DynamoDB, Postgres, MySQL * Knowledge of distributed processing / systems design (e.g., Apache Spark, Databricks, Snowflake) * Knowledge of messaging systems (Kafka, AWS Kinesis) is a plus Key requirements *
Requirements
to greenfield projects advancing lakehouse capabilities * Shape the next-generation interface to enable seamless AI-enabled development Tasks * Bachelor in Computer Science or equivalent experience * At least five years of experience * Deep experience with cloud infrastructure and infrastructure as code (Terraform) on AWS * Strong programming skills in Java or Python * Experience with datastores such as DynamoDB, Postgres, MySQL * Knowledge of distributed processing / systems design (e.g., Apache Spark, Databricks, Snowflake) * Knowledge of messaging systems (Kafka, AWS Kinesis) is a plus Key requirements *
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