Director, Enterprise Data Architecture
Director, Enterprise Data Architecture
- JR-148307
- Hybride
- Toronto
- Frisco
- Data Science, Reporting and Analytics
- Full time
Who are we?
Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.
Job Summary
Strategic leader responsible for overseeing and managing Equinix's data architecture initiatives. Critical role in designing and implementing a robust data architecture framework that supports Equinix's data management and analytics objectives. Leads a team of data architects, collaborating with cross-functional teams to design and structure Equinix’s data assets, managing how they are organized, integrated and accessed. This leader works closely with business leaders, IT teams, and stakeholders to understand their data requirements and translate them into effective data architecture solutions.
Responsibilities
Strategy: Develop and execute a comprehensive modern data architecture strategy aligned with Equinix's goals and objectives
Governance: Partner with Data Governance to stablish enterprise data architecture policy, standards, and procedures for approval of changes to and continuous audit of deployed data architecture, ensuring alignment with business needs using best architectural principles
Data Modeling and Design: Define and implement data modeling and design principles, ensuring data structures are optimized for performance, scalability, and data integrity
Data Integration and Interoperability: Partner with business, application and technology owners to establish data integration standards and practices to deliver seamless data flow and interoperability across systems and applications
Warehousing: Partner with the warehouse leader, ensuring data lake house architecture is optimized to meet user requirements availability, discovery and access to data for analytics
Technology: Evaluate and select, deploy and use modern data architecture and modeling technologies that align with the Equinix's data strategy & technology stack
Stakeholder Management: Collaborate with business leaders, IT teams, and other stakeholders to understand their data requirements and align data architecture solutions accordingly
Data Security and Privacy: Work closely with the information security and legal teams to ensure data security and privacy measures are integrated into the data architecture framework
Industry Best Practices: Stay updated with emerging trends, technologies, and best practices in data architecture, attending conferences, participating in forums, and networking with industry experts
Drive the people development strategy, including enhancement of capabilities
Provide leadership and guidance for escalations to other strategy and insights / cross-functional stakeholders
Challenge existing managed processes based on industry best practice and trends to ensure Equinix is maintaining a best-in-class approach
Skills & Attributes
Possess a strategic mindset and the ability to envision the future of data architecture within the organization
Has deep understanding of data architecture principles, data modeling techniques, and data integration patterns
Inspire and motivate their team of data architects, foster a collaborative work environment, and provide guidance and support in delivering high-quality data architecture solutions
Translate technical data architecture concepts into business value and effectively communicate the benefits to stakeholders
Analyze complex data architecture challenges, identify solutions, and make informed decisions that align with the Equinix's goals and objectives
Qualifications
Bachelor's degree in a relevant field such as computer science, information systems, or data management
10+ years of related work experience, preferably in large-scale enterprise cloud-based environments with 4+ years of progressive leadership experience
Strong understanding of data architecture principles, data modeling techniques, and data integration patterns
Experience with Google GCP products (Inc. BigQuery), Exasol, Dell Boomi, and modern CRM, CPQ, ERP platforms like Salesforce, Oracle, ServiceNow
Strong understanding of principles and practices such as 'data as a product', Data as a Service, Data Mesh, Data Fabric, Data Virtualization and applying them to data architecture solutions
Familiarity with SQL, Python, and Java
Excellent leadership & people management skills, with the ability to inspire & motivate a team of data architects and data modelers
Experience with working with data governance frameworks, data security, and privacy regulations is preferred
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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