Manager, Data Engineering

About the position

The newly formed data strategy group at Learfield has partnered with the business in creating data solutions that will help drive the business forward into a digital transformation age. As the Manager, Data Engineering, you will oversee the development and implementation of engineering tasks. The data strategy team is looking for a candidate with in-depth experience of developing and implementing Azure data services including storage/data lake, Data Factory and SQL databases. The role will lead the engineering team in day-to-day operations, project execution and development.

Responsibilities

• Oversee the implementation of all engineering tasks throughout agile sprint development
• Work with Director, Engineering on project development, strategic planning, innovation scopes and ensuring a safe/productive work environment
• Create POC's and start projects to help remain on an agreed timeline; hold engineering team accountable to project timelines and scopes
• Create/maintain technical documentation by project/solution
• Provide leadership in growing big data/data warehousing environment
• Comfortable to derive solutions when requirements are missing or obscure

Requirements

• At least 6+ years of experience in data engineering or 2+ years in a leadership role
• Hands on experience in building Azure infrastructure using arm templates
• In-depth experience of cloud release management, process automation, source control ideally utilizing Azure DevOps
• Extensive experience in developing Azure Storage Accounts/Data Lake Gen2
• Extensive experience in Azure Data Factory, Mapping Data Flows
• Extensive experience in Azure SQL Server/Azure Synapse Analytics
• Extensive experience in Azure Logic & Function apps
• Knowledge of security best practices and industry standards and how to apply them within an Azure environment

Nice-to-haves

• Hands on development experience of Azure Event Hubs or Kafka or Lambda Architecture
• Experience with Azure API management
• Experience with Azure Machine Learning and ML Studio
• Tableau Server and Desktop knowledge; Power BI development and maintenance
• Experience or knowledge of other Data technologies - such as Amazon Redshift, Google Big Query, Hadoop or other cloud-based data service
• Experience in frontend technologies such as HTML, CSS, Javascript, Angular, React
• Experience in development languages using C#, Python

Benefits

• Medical
• Dental
• Vision
• Health Savings Account
• Life Insurance
• Flexible Paid Time Off (including Parental Leave)
• Paid Holidays
• 401(k)
• Short/Long Term Disability