Req Id: 421806 At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. Join us. You belong at Bell. **Summary** We are seeking a highly experienced and innovative Senior Data Architect to lead the design and implementation of our next-generation hybrid data mesh architecture. This role requires a deep understanding of cloud-native technologies, specifically Google Cloud Platform (GCP), and experience integrating on-premises data sources, particularly Hadoop. You will play a critical role in defining and implementing our data strategy, ensuring scalability, reliability, and security across our hybrid environment. This is a leadership role requiring collaboration with various teams to deliver high-impact solutions. **Key Responsibilities** + Lead the design and implementation of a hybrid data mesh architecture, integrating on premises Hadoop infrastructure with GCP services. + Define and implement data governance strategies, including data cataloging and metadata management within the data mesh framework.Assist in pushing data from on-premise Hadoop clusters to the cloud leveraging appropriate ETL/ELT technologies and maintaining data integrity. + Design and implement ELT (Extract, Load, Transform) pipelines using GCP services like Dataflow, Dataproc and Cloud Storage, integrating with on-premise Hadoop data sources. + Champion domain-driven design principles to ensure data ownership and autonomy within the data mesh. + Design and implement a composable architecture, allowing for flexibility and scalability in data processing and access. + Develop and maintain architectural documentation, including diagrams, specifications, and standards. + Provide technical leadership and mentorship to junior architects and engineers. + Define project scope, plans, and deliverables, including cost and timelines, for medium to large-scale data initiatives. + Collaborate with stakeholders across the organization to understand business requirements and translate them into technical solutions. + Ensure the security and compliance of data assets across the hybrid environment. + Stay current with the latest advancements in cloud-native technologies and data architecture best practices. **Critical Qualifications** + 8+ years of experience in data architecture, with a strong focus on hybrid cloud environments. + 5+ years of experience designing and implementing data mesh architectures. + Extensive experience with Google Cloud Platform (GCP) services, including Dataflow,Dataproc, BigQuery, Cloud Storage, and Data Catalog. + Proven experience with ELT (Extract, Load, Transform) pipeline development andoptimization. + Deep understanding of data modeling (logical and physical), including relational database management systems (RDBMS). + Experience with data cataloging and metadata management tools. + Strong understanding of domain-driven design principles and their application in dataarchitecture. + Experience with designing and implementing composable architectures. + Experience with on-premises Hadoop environments (e.g., HDFS, Hive, Spark) and migrating data to the cloud. + Experience with one or more Architecture & Service Delivery Frameworks (TOGAF, eTOM,ITIL, CoBiT, etc.). + Excellent communication, collaboration, and presentation skills. + Bachelor's degree in Computer Science, Information Systems, or a related field; Master's degree preferred. **Preferred Qualifications** + Experience with other cloud platforms (AWS, Azure). + Experience with data virtualization technologies. + Experience with data governance and compliance frameworks (e.g., GDPR, CCPA). + Certifications related to GCP or data architecture. \#LI-SS1 \#EmployeeReferralProgram Adequate knowledge of French is required for positions in Quebec. **Additional Information:** **Position Type:** Management **Job Status:** Regular - Full Time **Job Location:** Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : British Columbia : Vancouver || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Quebec : Montreal **Work Arrangement:** Hybrid **Application Deadline:** 02/21/2025 For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs. **Please apply directly online to be considered for this role. Applications through email will not be accepted.** We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form (https://www.bce.ca/Accessibility\_services/Accessibility\_Feedback?brand=bce) or visit our Accessibility page (https://www.bce.ca/accessibility\_services) for other ways to contact us. Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details (https://www.phenom.com/talent-acquisition) ) to learn more about how we collect, use, and disclose your personal information. Created: Canada, ON, Toronto **Bell, one of Canada's Top 100 Employers. (https://reviews.canadastop100.com/top-employer-bell?lang=en)**