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Arrive Logistics · 18 hours ago

Data Engineering Manager

Austin, TX

Full-time

Onsite

Mid, Senior Level

4+ years exp

Arrive Logistics is a leading transportation and technology company in North America, committed to providing employees with a meaningful work experience. As a Data Engineering Manager, you will manage and mentor a team of Data Engineers, oversee the roadmap for the Data Engineering team, and collaborate with various stakeholders to enhance the Data Platform capabilities.

Freight ServiceLogisticsShipping BrokerSupply Chain ManagementTransportation

Responsibilities

Manage and mentor a team of Data Engineers, ensuring members of the team have clear career paths and opportunities for learning and growth

Evaluate performance of direct reports and hold teammates accountable. Hire, promote and manage as needed

Own and execute on the roadmap for the Data Engineering team, ensuring technical debt and technical priorities are represented alongside the team’s Product-facing roadmap

Work with Data and Engineering leadership to set strategy for developing Data Platform components and capabilities

Develop strong relationships with leaders in Analytics, Engineering, and Product to align on architectures and standards for ingesting data into the Data Platform and making Data Platform data available to these groups

Develop and monitor team KPIs. Run, monitor and analyze reports and provide updates to leadership. Implement related improvements as suggested by data and knowledge of challenges

Set training standards for new hires and continued education. Enable peer to peer training and knowledge transfer

Manage relationships with vendors used for Data Platform components, frequently analyzing costs and weighing tradeoffs between ‘build vs buy’ decisions

Define and document standards and best practices for data governance, data management, data quality

Coordinate deployments of data pipelines and systems that have dependencies across Data and Engineering teams

Spearhead adoption of new technology, infrastructure, and architectural patterns for teams within in the analytics, reporting, and data science space (including technology/frameworks used by Data Engineering, Data Science, and Analytics Engineering) as we continue building our data stack

Take part in Agile ceremonies and work closely with our Project Manager and Tech Lead to ensure meeting cadences and other team processes support the team’s health and vision

Qualification

Data EngineeringData PlatformData WarehousingSnowflakeAirflowETL/ELTAgile FrameworksChange ManagementTeam LeadershipCommunication Skills

Required

4+ years of experience in a technical role focused on data, such as Data Engineering, Analytics, Data Science, or equivalent

2+ years of experience leading projects and/or people within Data, Analytics, or Engineering teams

Experience with modern and industry standard data tooling such as Snowflake, FiveTran, Airflow, dbt, and BI tools

Experience building highly technical data engineering and science systems, including systems with complex analytical or machine learning components

Understanding of common data architectures, processes, and paradigms such as data warehousing/modeling, ETL/ELT, data science model development and deployment, event streaming

A passion for mentoring and contributing to the success of those around you

Experience coordinating projects that have dependencies across multiple teams or organizations

Strong organization, prioritization, and change management skills

Excellent written and oral communication and presentation skills

Experience or familiarity working in agile frameworks