About the role:
- Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition.
- Develop technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams.
- Design logical data model and orchestration requirements.
- Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads.
- Oversee data catalog entries and enforce data cataloging rules.
- Manage access controls for end data products.
- Manage change requests to the structure, definitions and/or security of identified data objects.
- Communicate with the Business Data System Owner and Business Data Steward on metric updates.
- Act as escalation point for Data Quality Analysts when defined processes are insufficient to resolve issues.
About you:
- Bring 7+ years of experience in data engineering or data analysis.
- Have hands-on experience with and understanding of the following: SQL; Python or other programming language; Databricks or other cloud data management platform; technical and business data cataloging; logical data modeling, including experience designing logical data models; ETL/ELT tools such as Apache Airflow; and data dictionary development.
- Bring proven experience in data management, requirements management, and metadata management.
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.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement