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The Sr Data Engineer is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating cross functionally to analyze, architect, design, and develop data products. This role supports the marketing and consumer lines of business, focusing on contextual marketing, paid media, third-party data, and the Customer Data Platform (CDP). The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.
Job Responsibility:
Develop data engineering solutions that enable data pipelines, data transformation, data privacy and analytical tools within the T-Mobile Customer Data Platform (CDP)
Collaborate on analysis, architecture, design, and development of data products within the T-Mobile Customer Data Platform (CDP)
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Tackling the most complex and innovative tasks of the organization usually with strict time constraints.
Support white-boarding sessions, workshops, design sessions, and project meetings as needed
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Mentor team members to build and enhance their data engineering skillsets and professional growth
Assist management in project definition, including estimating, planning, and scoping work to meet objectives
Also responsible for other duties/projects as assigned by business management as needed
Requirements:
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area
4-7+ years Developing cloud solutions using data series
experience with cloud platforms (Azure Data Factory, Azure Databricks, and Snowflake)
4-7+ years Hands-on development using and migrating data to cloud platforms
4-7+ years Experience in SQL, NoSQL, and/or relational database design and development
4-7+ years Advanced knowledge and experience in building complex data pipelines with experience in languages such as Python, SQL, Scala, and Spark
Analytical approach to problem-solving
ability to use technology to tackle business problems
Knowledge Of Message Queuing, Stream Processing, And Highly Scalable ‘Big Data’ Data Stores
Ability to manage work across multiple projects, good organizational skills
Extensive experience in building and maintaining ETL/ELT pipelines, data integration, and data transformation processes to ensure data quality and consistency across various data sources.
Experience in applying data encryption, i.e. PGP, GPG
At least 18 years of age
Legally authorized to work in the United States
Nice to have:
Experience in applying data privacy and governance regulation to customer data engineering use cases, i.e. CCPA and COPPA
Cloud platform certification(s) i.e. Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified Solutions Associate (MCSA)