Data Architect

Select how often (in days) to receive an alert:

Join Livingston andgrow your career inthe constantly changing world of international trade. Livingston is a market leader offering customs brokerage, international trade consulting, compliance and freight forwarding services around the world. Livingston has over 3,000 employees at more than 90 key border crossings, sea ports, airports and other strategic locations in North America, Europe and Asia.

Our fast-paced and collaborative environment offers you the opportunity to work with leaders in the industry, receive recognition for achievements and develop your expertise in the complex and evolving world of trade. Learn how you can make an impact at Livingston.

Job Type:Full Time

Location:

Home Office Pennsylvania, Home Office Illinois, Home Office Michigan, Home Office New York, Home Office Texas

Livingston is looking for a passionate and talented Data Architect to drive new and innovative concepts into our business. This role utilizes the data lake platform and its data assets that are built & maintained by the Data Analytics team. The ideal candidate has strong experience with Amazon Web Services and understanding infrastructure in a cloud setup, as well as an independent thinker able to explore new ideas and solutions.

This is a remote position.

• Assist in the entire lifecycle from analysis, design, and development through testing, deployment, and support of solutions.
• Closely partner with Data Products and Business Intelligence & Analytics teams to deliver value for both internal and external clients.
• Understand business needs and identify opportunities to employ best practices around tools supported by the Data Analytics team. Because data platforms at Livingston have a 24/7 requirement this role may coordinate and assign tasks to offshore resources.
• Develop the business's centralized data repository including tasks, but not limited to:
• Generating code/queries/scripts that leverage many enterprise and public data sources into a central model maintained in data lake
• Identify new data sources and facilitate data pipeline creation and complete data extraction from source systems
• Oversee documentation of processes in order to optimize and systemically approach improvement and revisions to execute best practices
• Participate business transformation initiatives from concept, through testing, to final implementation in order to move other employees/teams to a data driven environment
• Assist in the definition, design and delivery of new data sources and pipelines within the Livingston Data Hub and additional related applications.
• Document, monitor, and revise product requirements, process maps, use cases, user acceptance test plans, project plans, and release notes in support of application development.
• Serve as Data Analytics subject matter expert in assisting the broader IT group in the resolution of roadblocks hindering product delivery and post-deployment support.
• Collect and analyze data to contribute to data architecture direction to create/execute on a backlog of user stories that often require collaboration with business partners to define requirements on that backlog.

• Must have solid understanding of the development life cycle of data products.
• Can develop hypotheses, identify data, and analyze results needed to prove or disprove hypotheses affecting business performance
• Up to date background on data science, architecture, and engineering tooling, techniques and industry trends.
• AWS resources which includes, EC2, VPC, Cloud Front, Cloud Watch, S3, Storage gateway, Autoscaling, Athena, Glue, Redshift. Knowledge of Terraform and Kinesis a plus
• Ability to balance various priorities, manage resources…