- As a Dev Ops Engineer for Global Marketing Technology, reporting into the Regional Technology Manager for Mar Tech International, you will be responsible for the development, support, configuration, and integration of the data infrastructure that supports our global marketing strategy. The solutions you build will involve large datasets and system integrations across both on-premise and cloud environments. We are looking for a role model and inspiring leader that cares about cross-functional application development and can nurture a relationship with our internal cross functional and external teams (vendors) to deliver a high-quality application which addresses our guest and business needs. This role requires leadership by example and will have you making regular individual contributions such as building out features in the backend for, for example, new APIs, maintenance and refactoring, carrying out code and design reviews, data QA, data reconciliation and testing through unit tests. You are truly the single point of contact and expert on all things related to Marketing technology infrastructure management for International.
Typical Duties and Responsibilities
- Design, build, operate and optimize the data pipelines, data mapping and data models that run our marketing platforms with a special focus on the Mar Tech Databases (Azure Snow Flake) Augment datasets, libraries and cluster capabilities with new data integrations to enhance omnichannel view of guest and omni purchase history Enhance and maintain existing features by improving and scaling supporting code, ensuring ongoing production support Implement new technology tools and frameworks where/when needed Interface with global Mar Tech support vendors and internal teams Oversee, participate in and manage production deployments Coordinate recovery from incidents utilizing well defined operational procedures, tools, and efficient communication across internal and external stakeholders.
Qualifications
- 56 Years of experience in customer data management, implementation, production support and enhancement - end to end with a proven record on Microsoft Azure Dev Ops , Snowflake and Data Bricks.
- Strong technical understanding of data model, data mapping and data integration with a cross-functional mindset.
- 3 + Years of experience building data pipelines using MSFT Azure tools and services ( Azure Data Factory, Snow Flake , Azure Blob, Azure Databricks, Azure SQL Server, Azure Data Warehouse, Azure Batch.)
- 3 + Years of experience with Python and/or PySpark Degree with strong analytical focus (Computer Science, Mathematics, Engineering, Statistics etc.) Familiarity with agile software delivery methodologies Proficient with Dev Ops tools and environments like Azure Dev Ops, Jenkins, Git, Ansible, Terraform. Knowledge of Digital Marketing (Email, Search-Engine Marketing, Social, Affiliate)
- Great problem solving and analytical skills combined with the ability to explain concepts to both technical and non-technical audiences.
- High energy in partnering with internal team and business teams across the globe to identify new opportunities within CDP to better understand and serve our guests Individual contributor and true team player inspired by single view of customer and motivated by taking CDP and Mar Tech to the next level Ability to: Design and communicate important concepts and decision points; communicate technical/complex information both verbally and in writing; analyze and problem solve a variety of issues; carry out strategic planning activities.
- Must haves: Acknowledges the presence of choice in every moment and takes personal responsibility for their life. Possesses an entrepreneurial spirit and continuously innovates to achieve great results. Communicates with honesty and kindness and creates the space for others to do the same. Leads with courage, knowing the possibility of greatness is bigger than the fear of failure. Fosters connection by putting people first and building trusting relationships. Integrates fun and joy as a way of being and working, aka doesnt take themselves too seriously.