Elasticsearch Careers in -united-states-remote ∙ Page 1

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As an Engineering Manager, you will guide your team toward executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale. Your contributions will play a pivotal role in building a safer financial system for billions of people.

The impact you’ll have here:

• Lead and nurture a team of high-impact engineers, offering guidance in both technical and cultural aspects.

• Provide regular coaching and technical mentorship to your immediate team as well as contribute to the broader engineering department's growth.

• Collaborate closely with management and product teams to plan, estimate, and prioritize roadmap objectives, identifying opportunities and mitigating risks.

• Engineer and optimize ETL pipelines that handle batch processing of petabyte-scale structured and unstructured data.

• Architect data models to ensure efficient storage and retrieval, maintaining sub-second latency for querying blockchain data.

• Oversee the deployment and vigilant monitoring of large-scale database clusters, focusing on performance, high availability, and data integrity.

• Establish and enforce robust data governance practices including data lineage, metadata management, access controls, and quality standards.

• Implement and maintain scalable data cataloging solutions to improve discoverability and management of datasets across TRM’s data ecosystem.

• Lead complex, large-scale data migrations across cloud platforms and data warehouses, ensuring minimal downtime, data consistency, and security throughout the transition.

What we’re looking for:

• A proven track record with over 5 years of experience in conceiving and implementing distributed system architecture, spanning from ideation to production.

• Proficiency in Python programming and adeptness in SQL or SparkSQL.

• Versatility across the entire spectrum of data engineering, encompassing areas such as:

  • Expertise in data stores such as ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.

  • Proficiency with data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban.

  • Deep understanding of batch data processing technologies and frameworks such as Apache Spark.

  • Experience leading large-scale data migration efforts between cloud environments and data warehouses, with a strong grasp of related architectural and operational trade-offs.

  • Hands-on experience with data governance frameworks and tools—covering policies for data ownership, access controls, lineage, and data quality monitoring.

  • Familiarity with modern data catalog solutions (e.g., Amundsen, DataHub, Alation) and metadata-driven data discovery practices.

  • Competence in deploying and meticulously monitoring infrastructure within public cloud platforms, using tools such as Docker, Terraform, Kubernetes, and Datadog.

  • A demonstrated ability to handle the complexities of loading, querying, and transforming extensive and intricate datasets.

About the Team:

• Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync.
• The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.
• We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture.
• We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do.
• We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus.
• Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer.
• By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact.

Learn about TRM Speed in this position:

• The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process.
• The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution.
• The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $220,000 - $240,000.
• Additionally, this role may be eligible to participate in TRM’s equity plan.