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Description

Bell Canada is seeking a highly experienced and innovative Senior Data Architect to lead the design and implementation of a next-generation hybrid data mesh architecture. This role involves integrating on-premises Hadoop infrastructure with Google Cloud Platform (GCP) services, defining data governance strategies, and designing ELT pipelines. The architect will work in a DevOps model, ensuring a reliable and scalable data framework aligned with business needs, and providing technical leadership and mentorship to junior team members. The role is crucial for driving the company's Data as a Service (DaaS) transformation, enabling seamless data sharing across the enterprise.

What We're Looking For

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.,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.,Assist in pushing data from on-premise Hadoop clusters to the cloud leveraging appropriate ETL/ELT technologies and maintaining data integrity.

Ideal Candidate

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 and optimization.,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 data architecture.,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).,Preferred Qualifications: Experience with data virtualization technologies.,Preferred Qualifications: Experience with data governance and compliance frameworks (e.g., GDPR, CCPA).,Preferred Qualifications: Certifications related to GCP or data architecture.

Minimum Education

Bachelor's Degree in Computer Science, Information Systems, or a related field; Master's degree preferred.

Hard Skills

Google Cloud Platform (GCP)
Dataflow
Dataproc
BigQuery
Cloud Storage
Data Catalog
ELT
ETL
data modeling (logical and physical)
relational database management systems (RDBMS)
data cataloging
metadata management
domain-driven design
composable architectures
Hadoop (HDFS
Hive
Spark)
TOGAF
eTOM
ITIL
CoBiT
AWS
Azure
data virtualization technologies
data governance
compliance frameworks (GDPR
CCPA)

Soft Skills

leadership
mentorship
communication
collaboration
presentation skills

Work Hours

40 hours per week

Benefits

comprehensive compensation package
competitive salary
medical benefits
dental benefits
vision benefits
mental health benefits
35% discount on Bell services
exclusive partner offers

Special Commitments

Must be based in Canada and report to a set Bell office for a minimum of 3 days a week (Hybrid work arrangement).

Also Available At

About the Company

B

Bell Canada

Bell Canada is the country's largest communications company, providing consumers and businesses with solutions for all their communications needs. The company offers a wide range of services including high-speed fibre internet, 5G wireless networks, digital TV, and enterprise-level AI and cloud solutions. Bell is committed to connecting Canadians from coast to coast while fostering innovation through significant infrastructure investments.

Innovative
Inclusive
Fast-paced
Customer-centric
Community-oriented
View all jobs at Bell Canada

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