Engineering Manager, Data Platform - San Francisco, United States - TRM Labs

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    [Full Time] Engineering Manager, Data Platform at TRM Labs (United States) | BEAMSTART Jobs

    Engineering Manager, Data Platform

    TRM Labs United States
    Date Posted
    20 Dec, 2023
    Work Location
    San Francisco, United States
    Salary Offered
    $173000 — $220000 yearly
    Job Type
    Full Time
    Experience Required
    6+ years
    Remote Work
    Yes
    Stock Options
    No
    Vacancies
    1 available

    At TRM, we're on a mission to build trust in digital assets, because the promise of crypto is too valuable to be impeded by bad actors.

    We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime.

    Our vision is to build a company that can sustainably deliver on our mission for decades to come, enabling consumers to transact safely and securely on the blockchain.

    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 will 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.

    Assume direct responsibility for ensuring the quality and timely delivery of the team's work, while overseeing the availability and performance of critical services.

    Drive projects aligned with well-defined goals and measurable outcomes, accountable to key performance indicators (KPIs).
    Foster best practices in design and usability, creating scalable solutions while emphasizing documentation and knowledge sharing.
    Resolve operational escalations and collaborate with various teams to address production incidents until resolution.
    Collaborate closely with management and product teams to plan, estimate, and prioritize roadmap objectives, identifying opportunities and mitigating risks.
    Contribute to the creation of highly reliable data services that seamlessly integrate with numerous blockchains.
    Engineer and optimize ETL pipelines that handle real-time transformation and processing of petabytes of 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 and high availability.

    Collaborate cross-functionally with data scientists, backend engineers, and product managers to design, implement, and refine new data models in support of TRM's products.


    What we're looking for:
    A Bachelor's degree (or equivalent) in Computer Science or a related field.


    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, and Storm.

    Advanced proficiency in data processing technologies and streaming workflows, including Spark, Kafka, and Flink.


    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.

    Learn more on TRM's

    Careers Page:


    About TRM Labs

    TRM is building a safer financial system for billions of people.


    Company Size:
    People

    Year Founded:

    2018


    Country:
    United States


    Company Status:
    Actively Hiring

    Looking for Partners

    Looking for Clients

    Raising Funds

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