Data Engineer/ ON-SITE

• Designs, codes, tests, and implements data movement, dashboarding, and analytical assets; develops system documentation according to SAFe Agile principles and industry standards.
• Evaluate architectural options and define the overall architecture of the 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.
• 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.

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 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 the 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 communication skills.
• Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture, and reporting.
• In-depth understanding of computer, storage, and network components including backup, monitoring, and DR environment requirements.
• Preferred knowledge and experience in 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.