Technical Manager, Data Products & Analytics Delivery

About the Role

• As a member of the Northern Trust Data Products & Analytics Delivery team, you'll be responsible for defining and building data products and services that our business teams use and rely on to deliver operational, decision-making, and analytical results.

About the Team

• The Data Products & Analytics Delivery team is responsible for defining and building data products and services that our business teams use to deliver operational, decision-making, and analytical results. 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 degree in computer science or a related field.
• Microsoft 365 Fundamentals, Azure Data Fundamentals, and Azure Data Engineer certifications.
• Relevant certifications in technology and other relevant professional training certifications.

Qualifications

• A successful candidate for the position of Technical Manager will have at least 10–15 years of industry experience, including a minimum of 5 years spent leading or managing technology teams, planning, and project delivery.
• Specific experience and competencies demonstrated in the following areas:
  • Strong knowledge of modern data practices and products—such as Azure Data Lake and Azure Synapse Analytics
  • Strong theoretical knowledge of relationships between structured and unstructured data, modeling, architectures, and business rules
  • Knowledge of data and business rules governing the data lifecycle
  • Ability to communicate with business stakeholders to understand data issues and explore possible solutions

Experience

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

Preferred Qualifications

• Bachelor's or master's degree in computer science, data engineering, or a related field.
• Experience working on 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 such as Power BI and 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, lineage, and the data catalog
• Oversee the design, implementation, and evolution of the Azure Data Platform for analytics 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 the architecture—including a data lake, DBT, and One Lake—that enables analysts to access 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 specific domain to develop and implement end-to-end analytics performance improvements
• Consume large-scale enterprise data, 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 technology areas where data engineering is essential to provide support
• Implementing a modern data warehouse, security, and self-service reporting using Azure Purview and ADF

Employment Type, Minimum Qualifications

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