Manager, Data Solution Lead

Responsibilities

• Accountable for managing and supporting projects as well as tasks of various sizes across multiple applications/technologies and related process
• Transform architectural and business concepts and requirements into robust technology designs and engineering configurations to deliver sustainable solutions for data management and analytics areas
• Design, build and maintain data pipelines and orchestration process with scalable transformations which ingest data to the Azure Data Lake
• Facilitate and oversee the technical design and development of technology solutions through the entire project lifecycle to ensure business needs are met
• Collaborate with developers, architects, analysts to develop best technical design and propose solution approaches; serve as a conduit between the business stakeholders and platform engineering team while building relationships and buy-in from critical internal and external domain stakeholders
• Contribute to the creation of standardized processes and best practices; keep abreast of latest trends in technology, industry and leverage AI assisted tools to accelerate delivery
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications

• Minimum five years of recent experience in developing and implementing large technology projects in complex organization with multiple stakeholders; MS Azure experience, including Databricks and Azure Data Factory is required
• Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required
• Deep understanding of the engineering, development, implementation and management of information technology solutions, data tools and platforms; strong knowledge of data management methodologies such as data architecture, data governance, data modeling, BI/Analytics, and more
• Experience with data manipulation and Extract, Transform, Load (ETL) using common languages like SQL and python for developing data pipelines as well as designing and implementing CI/CD processes; knowledge of source control repositories like Git
• Demonstrated experience across the systems development life cycle in all project phases from planning to operations; ability to provide technical mentorship through peer collaboration, knowledge sharing and code reviews
• Knowledge of Agile deliveries and project management methodologies; strong analytical, problem-solving, and decision-making skills; ability to identify patterns and generate ideas