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The Meijer Enterprise Data and Analytics train is seeking a Senior Data Engineer with experience designing architecture aspiring to be a Solution Architect. The Senior Data Engineer designs, develops, tests, maintains and enhances enterprise data and analytic solutions as a member of an Agile or Operations development team working closely with all areas of the Meijer business to implement best-in-class data and analytics solutions.
This is a hybrid role meaning this person will need to be in office Monday - Wednesday. Relocation Assistance is potentially available for those willing to relocate.
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What You'll be Doing (Responsibilities):
- Designs, codes, tests, and implements data movement, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards
- Evaluates architectural options and defines overall architecture of enterprise Data Lake and Data Warehouse
- Providing subject matter expertise and technical consulting support on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI
- Defines 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
- Determines major elements and subsystems and defines interfaces as well as architectural runway
- Mentoring and coaching other members of the agile and\or Run team.
- 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
- Conducting industry research, facilitates new product and vendor evaluations, and assists in vendor selection
What You Bring with You (Qualifications):
- 8+ 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 on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI
- 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
- 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
- In-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirements
- 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