Staff Data Platform Engineer

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Crystal Intelligence

WebsiteLinkedInAll Job Openings

51 - 200 employees

₿ Crypto

📋 Compliance

🔐 Security

💰 Seed Round on 2020-04

Crypto • Compliance • Security

Crystal Intelligence is a company specializing in blockchain analytics and intelligence solutions focused on combating cryptocurrency crime and ensuring compliance. It offers products like Crystal Expert, which are designed for cryptocurrency investigators and compliance teams to monitor transactions and detect fraudulent or illicit activities. The company provides extensive services, including investigative support, training and certification, and advisory for regulatory compliance in the crypto space. Crystal Intelligence supports governments, financial institutions, law enforcement, and regulators with advanced on-chain and off-chain intelligence, helping them to understand and manage risks associated with digital assets and decentralized finance. The company is also involved in publishing insights and reports on crypto crimes and regulatory updates.

📋 Description

• Design and evolve data pipeline architecture and storage systems, driving technical direction across the team; • Build and deliver high-quality data pipelines end-to-end, from initial design through production deployment; • Mentor engineers, raise the technical bar through code reviews, and unblock teammates on complex problems; • Own team outcomes — set expectations, ensure delivery quality, and take accountability for results.

🎯 Requirements

• 8+ years of hands-on software engineering experience, with significant depth in data pipelines, backend services, or data platform engineering; • Deep experience designing and operating data lakes/warehouses/lakehouses at production scale; • Experience in scaling data pipelines and good understanding of trade-offs (performance, resources) • Expert Python skills: you write clean, performant, testable code and can establish standards for others; • Experience across the modern data processing stack e.g., Kafka or Redpanda (real-time ingestion, delivery semantics), Flink or Spark (stream and batch processing, stateful operations), Airflow or Dagster (scheduling, backfills, dependency management); • Expert-level SQL: complex joins, query planning and optimization, schema design across both OLTP and OLAP systems; • Strong database architecture skills; • Solid distributed systems experience; • Comfortable leading technical discussions, building consensus on architectural decisions, and being the person the team turns to when things get hard; • Team-oriented work and good communication skills are an asset; • Proficiency in English.

🏖️ Benefits

• AI tool of your choice: Cursor or Claude