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$100k–$115k/yr
Full-time
bachelor degree
Posted 29d ago
~40 hrs/week
Responsibilities
Administer and support an Azure-based data platform focusing on Databricks, Unity Catalog, and Azure Data Factory. Design and optimize scalable data pipelines while ensuring data governance, security, and high availability.
Requirements
Requires a Bachelor's degree and 4+ years of experience in cloud data engineering or analytics engineering. Proficiency in PySpark, Spark SQL, and Azure data services is essential.
Full job description
Seaspan employees are goal-driven and thrive in a high-performance culture. Our integrated business model, with over 25 years of fleet life-cycle management expertise, provides the world’s major shipping companies with long-term leases on large, modern and technologically advanced vessels, combined with industry-leading ship management services. As owner and operator of the vessels, we provide skilled officers and crews dedicated to the safe, reliable, and economical operation of our fleet. Seaspan's fleet has evolved over time to meet the varying needs of our customer base. We own vessels in a wide range of sizes, from 2,500 TEU to 24,000 TEU. Our main operating offices are located in Singapore, Vancouver, Hong Kong, and Mumbai.
We are seeking a highly skilled and versatile Cloud Data Administrator to join our Data Operations team. Reporting to the Manager, Data Operations, the Cloud Data Administrator plays a key role in the administration and support of our Azure-based data platform, with a particular focus on Databricks, data pipeline orchestration using tools like Azure Data Factory (ADF), and environment management using Unity Catalog. A strong foundation in data engineering, cloud data administration, and data governance is essential.
This is a full-time role located on-site (no remote) in our Vancouver, BC office.
Responsibilities:
Platform Administration and Monitoring:
Set-up and monitor job pipelines and workflows, troubleshooting failures as necessary to ensure maximum uptime.
Administer Databricks environments, including user access, clusters, and Unity Catalog for data lineage, governance, and security.
Support the deployment, scheduling, and monitoring of data workflows and jobs in Databricks and ADF.
Implement best practices for CI/CD, version control, and operational monitoring for pipeline deployments.
Implement and manage Delta Lake to ensure reliable, performant, and ACID-compliant data operations.
Security and access management:
Experience administering secure access to Azure Databricks and related data services using RBAC, managed identities, service principals, and Azure Key Vault
Understanding of data security, credential management, encryption, secret handling, and least-privilege access principles
Familiarity with Unity Catalog access controls, data governance, auditing, and compliance best practices
Data Modeling and Integration:
Design, develop, and optimize scalable data pipelines using Azure Databricks and ADF.
Collaborate with business and data engineering teams to design data models that support analytics and reporting use cases.
Support integration of data from multiple sources into the enterprise data lake and data warehouse.
Configure API calls to utilize our Azure APIM platform.
Maintain and enhance data quality, structure, and performance within the Lakehouse and warehouse architecture.
Collaboration and Stakeholder Engagement:
Work cross-functionally with business units, data scientists, BI analysts, and other stakeholders to understand data requirements.
Translate technical solutions into business-friendly language and deliver clear documentation and training when required.
Writing and scheduling notebooks/jobs in Databricks
Understanding of Delta Lake architecture and features
Working with Databricks Workflows (pipelines and job orchestration)
SQL/Python Programming
Handling JSON, XML, and other semi-structured formats
Experience with API integration using requests, http, etc.
Error handling and logging API Ingestion
Designing and implementing ingestion pipelines for RESTful API
Transforming and loading JSON responses to Spark tables
Cloud & Data Platform Skills
Databricks on Azure
Cluster configuration and management
Unity Catalog features (optional but good to have)
Azure Data Factory
Creating and managing pipelines for orchestration
Linked services and datasets for ADLS, Databricks, SQL Server
Parameterized and dynamic ADF pipelines
Triggering Databricks notebooks from ADF
Data Engineering Foundations
Data modeling and warehousing concepts
ETL/ELT design patterns
Data validation and quality checks
Working with structured and semi-structured data (JSON, Parquet, Avro)
DevOps & CI/CD
Git/GitHub for version control
CI/CD using Azure DevOps or GitHub Actions for Databricks jobs Infrastructure-as-code (Terraform for Databricks or ADF)
Additional Requirements:
Bachelor's degree in computer science, information systems, or a related field.
4+ years of experience in cloud data engineering, data platform, or analytics engineering role.
Familiarity with data governance, security principles, and data quality best practices.
Excellent analytical thinking and problem-solving skills.
Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders.
Microsoft certifications in Azure Data Engineer, Power Platform, or related field is desired
Experience with Azure APIM is nice to have
Knowledge of enterprise data architecture and data warehouse principles (e.g., dimensional modeling) an asset
Compensation and Benefits Package:
Seaspan’s total compensation is based on our pay-for-performance philosophy that rewards team members who deliver on and demonstrate our high-performance culture. The hiring range for this position is $100,000 - $115,000 CAD per annum. The exact base salary offered will be commensurate with the incumbent’s experience, job-related skills and knowledge, and internal pay equity.
Seaspan Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you.
Transportation, Logistics, Supply Chain and Storage
Company size
5,001-10,000 employees
Founded
2000
Headquarters
Vancouver, BC
LinkedIn followers
58,486
Total funding
$500M
Seaspan Corporation Pte. Ltd. is the world’s leading maritime asset-owner and operator focused on long-term, fixed-rate leases to the world’s most prominent shipping lines. As of September 30, 2025, Seaspan’s operating fleet consisted of 241 vessels, pro forma for undelivered newbuilds, including PCTCs and second-hand vessel purchase agreements, with a total fleet capacity of approximately 2.5 million TEU on a fully delivered basis.
For more information on our company, please visit our website at http://www.seaspancorp.com/
Offices: 200 Granville St., Suite 2600, Vancouver, BC V6C 1S4, CA · 101 Telok Ayer Street #04-01, Singapore 068574, Singapore, SG · 501, Kamla Executive Park, Cross Road B, Mumbai, Maharashtra 400 059, IN · 3501, 35/F, AIA Tower 183 Electric Road, North Point, Hong Kong, HK
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There are currently 770 open data & analytics positions in Vancouver, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Vancouver, Canada?
Companies currently hiring include Amazon, Canada Mortgage and Housing Corporation (CMHC) Société canadienne d'hypothèques et de logement(SCHL), RBC, RBCx, UBC Faculty of Education, among others. Browse the listings above to see every active employer.
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