Data Architect for Logistics and Supply Chain

1 week ago

San Francisco, California, United States Truckstop Full time

At Truckstop, we have revolutionized the freight-moving lifecycle with our innovative SaaS solutions. From freight matching to payments and everything in between, we are the trusted partner for carriers, brokers, and shippers alike. We drive this industry forward with our collaborative mindset, committing to principles such as assuming positive intent, supporting each other, and being authentic selves.

We lead a team of brilliant minds and generous hearts who care deeply about others' success.

Job Summary:

Data engineers play a crucial role in creating and maintaining data pipelines, assembling complex datasets, and extracting, transforming, and loading data from various data sources. They consult with development squads and data scientists to deliver product features and collaborate with cloud database administrators to resolve data-related technical issues.

The ideal candidate will possess expert knowledge of subject matter, provide leadership, coaching, and/or mentoring to subordinates, and act as a technical lead or first-level supervisor. A bachelor's degree or equivalent professional experience is required; Computer Science or Engineering is preferred. Minimum of 8 years of experience is necessary.

Responsibilities:

  • Create, automate, and maintain data pipelines that meet business requirements.
  • Extract, transform, and load data from various data sources using SQL and big data tools and technologies.
  • Identify, design, and implement process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater reliability and performance.
  • Write and optimize queries, write lambda functions, perform source-to-target mapping, and data modeling.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Collaborate with data architects, database administrators, and data engineers to continually improve data systems.
  • Troubleshoot operations and database issues for internal and external customers.
  • Perform incident resolution and root cause analysis of critical outages. Implement solutions to systematic failures.

Requirements:

  • Bachelor's degree or equivalent professional experience required; Computer Science or Engineering preferred.
  • Strong experience in SQL and Python.
  • Experience with relational SQL and NoSQL Databases; MS SQL, PostgreSQL, Snowflake, MongoDB, MySQL, MariaDB, Elastic stack.
  • Experience building and optimizing reliable, idempotent data pipelines (streaming or batch) using ETL tools such as Matillion, Apache NiFi, Kafka, and Spark.
  • A successful history applying software engineering principles to build data infrastructure tools/libraries to automate and scale data pipelines.
  • Understanding of applying logging and metrics to monitor and detect data pipeline performance issues.
  • Solid understanding of Data warehousing theory and concepts.
  • Working knowledge of data modeling and source-to-target mapping with a demonstrated understanding of data schema design and indexes.
  • Minimum of 8 years of experience.

Compensation and Benefits:

The anticipated base pay range for this position is: $139,000—$155,000 USD. The position is eligible for a yearly bonus. Final salary is based on a number of factors including market location, job-related knowledge, education/training, certifications, key skills, experience, internal peer equity, and business considerations.

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