Chief Data Platform Architect
7 days ago
About T-Mobile
T-Mobile invests in its employees, offering a competitive compensation package and numerous wealth-building opportunities. Our Total Rewards program includes an annual stock grant, employee stock purchase plan, 401(k), and access to free money coaches. This support enables us to remain unstoppable for our employees.
Job Summary
The Sr. Security Data Engineer at T-Mobile designs and develops data architectures in on-premise, cloud, and hybrid platforms. This role collaborates with data and security engineers on analysis, architecture, design, and development of data warehouse and SIEM solutions. The engineer will primarily focus on ingesting security data into our centralized platform by building a scalable and robust security data pipeline.
Key Responsibilities
- Develop data engineering solutions, including data pipelines, visualization, and analytical tools.
- Design and develop data architectures in on-premise, cloud, and hybrid platforms.
- Data wrangling of heterogeneous data, exploration, and discovery in pursuit of new security insights.
- Contribute to the team's knowledge and drive new capabilities forward.
- Mentor other team members in their efforts to build data engineering abilities.
- Assist team management in defining projects, including helping estimate, plan, and scope work.
- Prepare and contribute to presentations required by management.
Requirements
- Bachelor's Degree in Computer Science or Information Technology or equivalent work experience.
- 4-7 years of experience in info security technology or related field.
- Expertise in security subject areas.
- 2-4 years of technical project management experience with high-level design architecture, security technologies, networking, web services, and SOA.
- Understanding of encryption, obfuscation, and tokenization technologies.
Desired Skills and Experience
- Experience working with MS Sentinel and other Azure services.
- Building security data pipelines to support security operations (SIEM).
- Building and maintaining databases and data warehouses.
- Scripting knowledge.
- Operationalizing data pipelines for large datasets (100TB+).
Salary Range: $103,400 - $186,400
Celebrate Your Successes
As a valued member of our team, you'll have opportunities to grow professionally and financially. With a total rewards package that includes a competitive salary, bonus potential, and comprehensive benefits, you'll feel confident in your decision to join our team.
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