platform engineer

Crystal Intelligence provides an all-in-one blockchain analytics solution designed for regulators, financial services, and law enforcement. The platform enables crypto transaction monitoring and risk assessment to ensure compliance with global anti-money laundering regulations, while also assisting law enforcement in tracking illicit fund flows and solving investigations.

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

• 8+ Years of hands-on software engineering experience with depth in data pipelines, backend services, or data platform engineering;
• Deep experience designing and operating data lakes, warehouses, or lakehouses at production scale;
• Experience in scaling data pipelines and understanding performance and resource trade-offs;
• Expert Python skills for writing clean, performant, and testable code;
• Experience with modern data processing stacks like Kafka, Redpanda, Flink, Spark, Airflow, or Dagster;
• Expert-level SQL skills including query planning, optimization, and schema design for OLTP and OLAP;
• Strong database architecture and distributed systems experience;
• Ability to lead technical discussions and build consensus on architectural decisions;
• Proficiency in English;
• Nice to have: Experience working with distributed Clickhouse cluster, Blockchain domain knowledge, track record of driving engineering standards and best practices across a team.

• Remote role;
• Access to AI tools like Cursor or Claude Code.