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Director Data Platform and Data Engineering

Primary Location US, California, San Jose Additional Location(s) US, Texas, Plano; Canada, Waterloo Date posted 08/04/2021
Apply Now Job ID: JR0023587

Job Title:

Director Data Platform and Data Engineering

Role Overview:

Reporting to the VP, Data Science, Analytics and Science, we are looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you’ll see a direct link between your work, company growth, and user satisfaction. The ideal candidate will have strong data infrastructure and data architecture skills as well as experience in areas such as operating system telemetry, building ML platforms, stitching Customer 360 data across all channels of customer interactions at the lowest level of grain into a data model/product that will support all lines of business sales/finance/marketing.

Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

About the role:

  • You will create the vision for our next-generation data platform, including the data foundation and analytics to accelerate building and improving cross platform components and define and execute on a plan to achieve that vision. 
  • You will own the definition of processes needed to achieve operational excellence in all areas, including project management and system reliability. 
  • As the leader of this team, you will grow the data engineering team and design team to scale, paying close attention to people development while constantly encouraging diversity of thought. 
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. 
  • Manage data foundation and telemetry plans across McAfee platforms. 
  • Drive the design, building, and launching of new data models and data pipelines in production. 
  • Drive data quality across the product vertical and related business areas. 
  • Define and manage SLA’s for all data sets and processes running in production. 
  • Overall, you will contribute to improving data engineering competency across McAfee 

About you: 

  • 10+ years of experience with BI, Data Warehousing and Data architecture experience.     Your experience needs to include owning the vision and strategy of next-generation data platforms.
  • Experience with massive volume data sets is essential to your qualifications.
  • Your background and passion must include measurable experience with modern data technologies/stack such as AWS, Spark, Airflow, Kubeflow, Redshift, Snowflake, Databricks, Docker, BigQuery, Python, Git, etc.
  • Your career history must include growing and leading engineering teams of at 15 or more people.
  • Experience is required in one or more of the following - data telemetry, data driven performance and reliability improvement across platform and/or products, data foundation for computer vision or advance machine learning problems, data/analytics for voice assistant. 
  • Experience in SQL or similar languages. 
  • Development experience in at least one object-oriented language (Python, Java, etc.). 

Company Benefits and Perks:

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

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