Skip to content

Marketing Data Engineer/Manager

  • On-site
    • Grand Rapids, Michigan, United States
  • $40 - $50 per hour
  • Information Technology

Marketing Data Engineer || Grand Rapids, MI

Preferred knowledge and experience on Python and API architecture in Azure

Job description

Job Description

  • Designs, codes, tests, and implements data movement pipelines, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards.

  • Design and hands-on development on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, GCP Cloud storage and Big Query

  • Assist in configuration and administration of marketing platforms (Google Marketing platform, Salesforce MCI, The Trade Desk etc., ADvendio) that the team supports

  • Build data ingestion into and out of the above listed marketing platforms

  • Gathers and implements functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs.

  • Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions.

  • Participate in agile ceremonies and follow agile cadence to build, test and deliver solutions

  • Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.

  • Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.

 

Job requirements

Required Qualifications

  • 6+ years industry experience (business application design, development, implementation, and/or solution architecture)

  • Understanding of architecture practices and execution for large projects / programs.

  • Experience building and designing data and analytics solutions on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.

  • Databricks experience is required.

  • Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and legal compliance in the Azure architecture

  • Working knowledge of these tools preferred - Google Marketing platform, Salesforce MCI, The Trade Desk etc., ADvendio

  • Experience with Marketing domain data ingestion and analytics a must

  • Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required.

  • Excellent written and oral communications skills.

  • Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting

  • Preferred knowledge and experience on Python and API architecture in Azure

  • Any SAFe certification or training.

  • Experience with multiple, diverse technical configurations, technologies, and processing environments.

  • Exceptional interpersonal skills, including teamwork, facilitation, and negotiation


or