Cloud Data Administrator

Seaspan teams are goal-driven and share a high-performance culture, focusing on building services offerings to become a leading asset manager. Seaspan provides many of the world's major shipping lines with alternatives to vessel ownership by offering long-term leases on large, modern containerships and pure car, truck carriers (PCTCs) combined with industry leading ship management serves. 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 vessels. As a wholly owned subsidiary of Atlas Corp, Seaspan delivers on the company's core strategy as a leading asset management and core infrastructure company.

Position Description :

We are seeking a highly skilled and versatile Cloud Data Administrator to join our Data Operations team. Reporting to the Team Lead, 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. Development experience using SQL and Python is required. Knowledge or experience with APIM is nice to have.

Job 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.

Data Modeling and Integration :

Collaboration and Stakeholder Engagement :

Required Technical Experience :

Apache Spark (on Databricks)

SQL / Python Programming

API Ingestion

Cloud & Data Platform Skills

Azure Data Factory

Data Engineering Foundations

DevOps & CI / CD

Additional Requirements :

Job Demands and / or Physical Requirements :

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 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, color, 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.

Please note that while this position is open in both Vancouver and Mumbai, it represents a single headcount. The role will be filled in one of the two locations based on candidate availability and suitability, determined by the hiring team.

Skills Required

Spark SQL, Github, Pyspark, Apache Spark, Api Integration, Sql, Git, Azure Data Factory, Terraform, Databricks, Python