Technical Manager, Data Products & Analytics Delivery

About The Role

• As a member of team called the Northern Trust Data Products & Analytics Delivery, you'll be responsible for defining and constructing data products and services that our business teams utilize and depend on to deliver operational, decision making and analytical outcomes.

About the Team

• The Data Products & Analytics Delivery team is responsible for defining and constructing data products and services that our business teams use to deliver operational, decision making and analytical outcomes. We are looking for a Technical Manager to join our team and lead the development and delivery of these solutions.

Requirements

Education and Certification

• Bachelor's in computer science, or related field.
• Microsoft 365 Fundamentals, Azure Data Fundamentals, and Azure Data Engineer certifications.
• Relevant certifications in Technologies, and other relevant professional training certifications.

Qualifications

• A successful Technical Manager candidate will possess at least 10-15 years' experience in industry, a minimum 5 years which should have included leading/managing technology teams, planning, and project delivery.
• Specific experience and competencies demonstrated across the following:
  • Strong knowledge of modern data practices and products – such as Azure Data Lake, Azure Synapse Analytics
  • Strong theoretical knowledge of structured and unstructured data relationships, modeling, architectures, and business rules
  • Knowledge of data and business rules governing the life cycle of data
  • Ability to communicate with business stakeholders to understand data problems and work through their solution options

Experience

• 5 years' experience in delivering data solutions and data projects.
• 5 years' experience in leading and managing technical teams, including providing coaching and guidance.
• 5 years' experience in data warehousing, data lake architectures, and data engineering.
• 5 years' experience in Agile methodologies and processes.
• 5 years' experience with Azure cloud services, including Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Data Factory.
• 5 years' experience in data quality and governance.

Preferred Qualifications

• Bachelor's or master's degree in computer science, data engineering, or related field.
• Experience working within a software engineering team using Scrum or similar methodologies.
• Relevant experience with Snowflake.
• Professional certification in Azure, AWS, or other cloud platforms.
• Familiarity with data visualization tools like Power BI, Azure Data Studio.

What You'll Be Doing

• Oversee the design, implementation and evolution of Northern Trust Cloud Data Lake components, such as Metadata, Data Governance, Data Security, Data Quality, and Lineage, and Data Catalog
• Oversee the design, implementation and evolution of Azure Data Platform for analytic capabilities
• Implement and oversee operations on Azure using Cloud Data Factory and other Azure Data services
• Build and oversee data pipelines in Microsoft Fabric that connect to the data lake, dbt, Snowflake and various data sources
• Design and oversee architecture including a Data Lake, DBT, and One Lake that allows analysts access to the enterprise data
• Build and oversee data pipelines for data storage in Microsoft Fabric for business reporting and self service analytics
• Partner with Analysts and end users from a particular domain to build and execute end to end analytics performance improvement
• Consume large enterprise, relational data, unstructured data, and external data, optimizing data pipelines
• Transforming unstructured, tabular data and operational data into structured formats
• Strengthen existing relationships with business teams across various lines of technology where data engineering is essential to provide support
• Implementing modern data warehouse, security, and self-service reporting using Azure Purview and ADF

Employment Type, Minimum Qualifications

• Regular
• Bachelor's in computer science or data engineering or related field.