Sr. Manager, Data Engineering & Architecture

T-Mobile • Bellevue, WA

11d

About The Position

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! Job Overview The Sr Manager, Data Engineering oversees a team of data engineers who are responsible for analysis, architecture, design and development of data warehouse and business analytics solutions. The Sr Manager, Data Engineering is responsible for the planning and roadmap for the Data Engineering team and is responsible for the quality for the data pipelines the team builds. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving perfection and want to make a significant impact, apply today!

Requirements

• Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience (Required)
• 8+ years’ experience working with large scale complicated datasets; experience with relevant technologies and of enterprise-level system implementations such as data warehouse, ETL automation, BI visualization tools, and cloud-based data management tools Required
• 5-7 years’ experience leading and/or coaching senior engineers Required
• Experience with the Software Development Life Cycle (SDLC) and Agile/Scrum methods
• Demonstrated ability to manage global projects or programs including work prioritization, planning, and coordination (Required)
• Previous experience managing technology solutions and services as products (Required)

Nice To Haves

• Master's/Advanced Degree Mathematics, Computer Science, Engineering, Finance, Statistics, or related technical field and/or MBA (Preferred)
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams (Preferred)
• Ability to work cross-functionally, building and maintaining trust with internal stakeholders (Preferred)
• Passionate about learning new technologies (Preferred)
• Cloud Platforms – Azure (Primary), (GCP/AWS secondary)
• On-Prem Platforms – Hadoop (Cloudera)
• Data Tools and Workload Processors - Databricks, Snowflake, Azure Data and Analytics services
• Agile Frameworks - Kanban, Scrum
• CI/CD - Gitlab, Jenkins, Terraform
• Data Lake, Data Lakehouse and Data Warehouse concepts, data modeling and tools preferable on the cloud e.g., Azure Data Lake (ADLS), Snowflake, Databricks Lake House etc.
• Designing data pipelines via tools like Apache Nifi, Azure Data Factory, Apache Spark Kafka, Event Hub
• Designing and developing custom data collection frameworks
• Programming Languages - Java, Scala, or Python (any 2)
• Linux Administration
• Network and Security foundations (e.g., VPC, IAM)
• Experience with infrastructure including hosting, container-based deployments, storage systems and cloud platforms.
• Experience with Relational and NoSQL databases
• Experience writing SQL
• Experience optimizing and scaling data lake performance (ADLS/HDFS)
• Experience with data visualization products, Power BI, Tableau Grafana, InfluxDB, Prometheus

Responsibilities

• Manage a team of data engineers and software engineers that build custom data movement frameworks and off the shelf tooling
• Create, manage, and communicate plans via roadmaps and presentations for the products and solutions supported by the Data Engineering team
• Provide thought leadership and technical and business solution advice to Data Engineer team members and internal customers
• Work across multiple teams in high visibility roles and be responsible for the solution end-to-end.
• Interface with engineers, product managers, and product analysts to understand data needs
• Build framework for auditing, error logging and master data management for the team’s pipelines
• Collaborate on analysis, architecture, design, and development of data warehouse and business analytics solutions
• Also responsible for other Duties/Projects as assigned by business management as needed.

Benefits

• Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.
• Employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role.
• Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year.
• medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance.
• eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees