Senior Data Platform Engineer
Core
Design, build, and maintain scalable infrastructure for ingesting, processing, storing, and serving large volumes of legal and financial document data.
Role type
Senior Data Platform Engineer
Builds
Scalable data pipelines, backend services, and cloud infrastructure for document storage and retrieval
Domain
Legal technology and financial services data infrastructure
Deliverable
production ML models | infrastructure
Required skills
distributed systems, data warehousing, Hadoop, Spark, Snowflake, systems programming (Python/Java/C++/Go), SQL/NoSQL, database design, query optimization, cloud infrastructure (AWS/GCP/Azure), infrastructure-as-code, data compliance
Preferred skills
legal tech/financial services domain, real-time streaming (Kafka/Flink), machine learning pipelines, mentoring
Technologies
Hadoop, Spark, Snowflake, Kafka, Flink, AWS, GCP, Azure
Responsibilities
Design and optimize large-scale document data pipelines; Build and maintain high-performance backend services for document storage and retrieval; Implement data governance, privacy controls, and regulatory compliance (e.g., GDPR); Lead database migrations and improve schema design and query performance; Partner with ML/AI teams to support model training and inference at scale; Mentor engineers on platform architecture and system design
Seniority
Senior, hands-on IC with mentorship responsibilities
