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Technical Data Steward

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Canada

Offer summary

Qualifications:

7+ years in data engineering or analysis, Experience with SQL and Python, Knowledge of Databricks or equivalent, Understanding of logical data modeling, Familiarity with ETL/ELT tools.

Key responsabilities:

Collaborate with business leaders on requirements
Develop technical requirements for metrics
Design and manage logical data models
Oversee data catalog entries and access controls
Act as escalation point for data quality issues

McAfee XLarge https://www.mcafee.com/

1001 - 5000 Employees

See more McAfee offers

Job description

Role Overview:

McAfee is looking for an experienced Technical Data Steward to join our Enterprise Analytics team. In this role, you will be a pivotal part of McAfee’s enterprise data management strategy, focusing on translating business needs into precise technical requirements. You will oversee logical data models, manage complex metadata, and collaborate closely with ingestion and curation teams to ensure robust data governance and curation practices.

This is a remote position based in Canada. We will only consider candidates in Canada and are not offering relocation assistance at this time.

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.

#LI-REMOTE

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.

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.

Bonus Program
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.