Senior Manager, Engineering – Clustering & Exposure

Chainalysis Inc.; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Dormont Manufacturing Co in Germany is seeking a technical leader to build and mentor engineering teams responsible for innovative data systems and clustering infrastructure. This role requires strong hands-on software engineering skills, along with a deep experience in large-scale data processing.

The ideal candidate will have a keen interest in blockchain technology and be comfortable balancing technical leadership with team collaboration. You’ll influence our technical roadmap while ensuring team efficiency and quality.

Qualifikationen

• Strong hands-on software and data engineering skills.
• Deep experience with large-scale data processing and distributed systems.
• A track record of leading high-performing engineering teams.
• Excitement about working on large-scale graph and real-time data tracing problems.

Aufgaben

• Build, lead, and mentor two engineering teams.
• Drive technical vision and roadmap across domains.
• Own re-architecture of exposure systems.
• Establish best practices and tooling for engineering processes.

Kenntnisse

Software engineering skills

Data processing experience

Team leadership

System reliability

Interest in blockchain and cryptocurrencies

Tools

AWS

Kubernetes

Spark

Flink

Java

Python

Databricks

Jobbeschreibung

In this role, you’ll:

• Build, lead, and mentor two high‑performing engineering teams spanning clustering infrastructure and exposure data systems.
• Drive the technical vision and roadmap across both domains, balancing reliability, scalability, cost efficiency, and speed of iteration.
• Own the re-architecture of exposure systems to trace funds in real time, combating nation‑state actors and darknet markets.
• Evolve the next‑generation clustering platform, ensuring Chainalysis stays ahead of an ever‑changing blockchain landscape.
• Partner with data producers, consumers, and product stakeholders to deliver a world‑class developer and data science experience.
• Establish engineering processes, tooling, and best practices that accelerate your teams and the broader organization.
• Dive into hard problems hands‑on when needed – architecture decisions, incident response, or unblocking the team.
• Champion a culture of quality, correctness, and continuous improvement across mission‑critical data systems.

We’re looking for candidates who have:

• Strong hands‑on software and data engineering skills – comfortable reviewing code, writing design docs, debugging production systems, and making architectural decisions alongside your team.
• Deep experience with large‑scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or similar). You can evaluate trade‑offs, not just delegate them.
• A track record of leading multiple high‑performing engineering teams – while staying close enough to the technical details to unblock, challenge, and elevate the work.
• A keen interest and desire to drive the teams to embrace and thrive in an AI first environment.
• Experience managing across multiple problem domains simultaneously, with the ability to context‑switch between strategic planning and hands‑on technical contribution.
• A collaborative, leadership style grounded in technical credibility – your team trusts your judgment because you’ve been in the trenches with them.
• Excitement about working on large‑scale graph, clustering, and real‑time data tracing problems, and a genuine desire to own mission‑critical infrastructure.
• Strong focus on system reliability, data correctness, and cost‑conscious engineering at scale.
• Interest in blockchain and cryptocurrencies (or eagerness to learn – we’ll help).

Nice to have experience:

• Hands‑on experience with blockchain technology, cryptocurrency protocols, or on‑chain data analysis.
• Experience with entity resolution, graph algorithms, or large‑scale clustering problems.
• Familiarity with cost optimization for high‑throughput data pipelines.

Technologies we use:

• AWS serverless architectures
• Kubernetes
• Spark
• Flink
• Java
• Python
• Databricks
• RisingWave
• Parquet, Iceberg, Delta, Paimon
• Terraform
• GitHub

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don’t hesitate to let us know. You can learn more.