Senior Data Platform Engineer, Data Cloud

🕒 vor 1 Monat

🗻 New Hampshire, New York, +4 weitere Bundesländer – Remote

🗻 New Hampshire – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚔️ Virginia – Remote

💵 $130.000 - $217.000 / Jahr

⏰ Vollzeit

🟠 Senior

🏗️ Plattformingenieur

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Chainalysis Inc.

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

🔌 API

💳 Fintech

🔒 Cybersecurity

💰 €170.000.000 Series F im 2022-05

API • Fintech • Cybersecurity

Chainalysis ist die führende Blockchain-Datenplattform, die Blockchain-Intelligence-Lösungen für verschiedene Sektoren bereitstellt, darunter Strafverfolgungsbehörden, Aufsichtsbehörden, Finanzinstitute und zentralisierte Krypto-Börsen. Das Unternehmen unterstützt Organisationen dabei, Krypto-Herausforderungen zu bewältigen, die Einhaltung von Vorschriften (Compliance) sicherzustellen und Risiken im Zusammenhang mit Kryptowährungstransaktionen durch innovative Lösungen und Insights zu minimieren. Mit einem F&E-Hub namens Chainalysis Labs treibt das Unternehmen die Weiterentwicklung von Blockchain-Intelligence voran und unterstützt eine sicherere digitale Wirtschaft.

Beschreibung

• Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve • Design, implement, and optimize our high-performance, scalable data serving platform that enables data querying and consumption across the organization and external facing data products • Design, implement, and optimize our high-performance, scalable data storage and transformation platform that enables both batch and stream processing with 100+ million updates per day on datasets > 100 billion rows • Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases • Build batch and streaming data pipelines for core blockchain datasets widely used across the company • Deploy cloud infrastructure at scale with enterprise-grade reliability, implement and maintain infrastructure automation and self-service, and create robust CI/CD pipelines • Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines

🎯 Anforderungen

• 6+ years of experience as a Data Platform Engineer or Data Engineer or Data Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms at large scale • Passion for leading/contributing towards the technical vision of the team/org, strong ownership of mission critical systems, dedication to honing their craft while mentoring others • Experience in building and maintaining both batch and streaming data pipelines using DBT/Databricks/Apache Spark/Apache Flink, as well as deep understanding of data architecture and data modeling best practices • Expertise with AWS services, cloud architecture, fault-tolerant distributed data systems, and proficiency with Terraform for provisioning and managing cloud infrastructure • Deep understanding of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, StarRocks, Clickhouse, and proficient with Python/Java and SQL • Experience building tools and frameworks to accelerate the development of data pipelines, and familiarity with data governance, data quality, and observability best practices

🏖️ Vorteile

• Offers Equity • Offers Bonus