Technical Manager, Data & Integrations
$126k - $154k per yearSeaspan Marine Transportation
Description
The Technical Manager Data & Integrations plans for designs and oversees the flow of data across systems and applications within Seaspan Marine Groups (SMG) IT landscape. They are responsible for managing a team of data professionals and developers to ensure efficient and effective data ingestion processing integration and delivery in the form of various data products that provide insight and support to key business processes. This role requires a deep understanding of data architecture data engineering and data management principles proficiency in data integration and transformation technologies and strong leadership skills to drive successful outcomes.
Note: This position qualifies for an optional hybrid work schedule after 90 days of onsite work and onboarding. Employee will be subject to the terms of the Flexible Work Policy Agreement.
What youll do
- Lead coach and develop a highperforming team of data engineering and integration professionals fostering a collaborative inclusive and growthoriented culture.
- Own the endtoend delivery of a modern cloud data platform including architecture implementation operations and continuous improvement within SMGs Azure environment.
- Design and deliver secure scalable and costefficient data solutions that are automated wellmonitored and built with strong data quality governance and reliability practices.
- Establish and champion CI/CD standards for data pipelines and integrations enabling consistent deployment testing version control and operational monitoring.
- Provide technical leadership and handson guidance on data integration patterns transformation approaches and tooling to support evolving business and advanced analytical needs.
- Lead the planning prioritization and execution of data platform and integration initiatives ensuring delivery on time within scope and aligned to strategic objectives.
- Proactively manage delivery risks and operational issues by tracking project milestones identifying dependencies.
- Partner with stakeholders to translate business requirements into welldesigned data products and actionable insights that drive decisionmaking and desired business outcomes.
- Own the data product and integration development roadmap including intake prioritization and governance of requests to balance demand capacity and value created.
- Communicate progress outcomes and performance metrics clearly to leadership providing transparency into delivery status risks and opportunities for improvement.
What youll bring
- Bachelors degree in Computer Science Engineering Information Systems or a related field or an equivalent combination of education and experience.
- 10 years of experience in data engineering data integration or data platform roles including responsibility for designing building and operating enterprisescale data solutions.
- Demonstrated experience leading coaching or mentoring technical teams with a focus on delivery excellence and professional development.
- Strong knowledge of data architecture and integration patterns including APIs ETL/ELT pipelines in Azurebased data platforms.
- Handson experience designing and supporting reliable secure and scalable application and system interfaces in production environments.
- Proven ability to lead solution design and delivery collaborate with vendors and crossfunctional stakeholders and translate business needs into effective data solutions.
- Strong working knowledge of modern project delivery practices including agile methodologies sprint planning backlog management and the use of Azure DevOps and versioncontrol tools to support reliable transparent delivery.
- Solid knowledge of Azure data engineering components such as Data Lake/Blob Storage Azure Data Factory Databricks Unity Catalog Azure SQL Microsoft Fabric services.
- Demonstrated ability to set up configure and maintain core components of an Azure data platform including environments pipelines storage and supporting services in organizations where responsibilities are not fully segmented across specialized teams.
- Practical experience managing access controls permissions and security configurations within Azure data platforms and supporting infrastructure ensuring appropriate access compliance and operational stability.
- Strong handson capability in Pythonbased data engineering including PySpark Pandas and SQL/TSQL for building optimizing and supporting data pipelines and data transformations.
- Knowledge of enterprise integration and middleware technologies such as Azure Logic Apps Oracle Integration Cloud (OIC) APIbased integrations or comparable platforms.
- Experience enabling advanced analytics or machine learning solutions within Azure AI Foundry is considered an asset.
- A collaborative selfdriven leader who builds highperforming teams through coaching mentorship and knowledge sharing and who can guide teams through platform process and systems change.
- Strong communication prioritization problemsolving decisionmaking and delegation skills with the ability to engage effectively across technical and business audiences.
Why youll love working here
- This is a full-time permanent position.
- In addition to an annual bonus and pension plan matching this role provides you a very competitive salary in line with the successful candidates experience.
- We also provide the best-in-class health and wellness benefits package for this position including things such as extended health care (i.e. paramedical services for massage therapy speech therapy mental health coverage physiotherapy and more) dental care vision care life insurance medical leave coverage parental leave coverage $500 personal spending account and an Employee Family Assistance Program (EFAP).
- Free on-site gym.
- Parking is included and to assist those that are using transit we operate a complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver.
The estimated salary for this position is $126000 - $154000. In determining final salary Seaspan considers many factors including the successful Candidates skillset and experience as well as position location and internal equity. The final base salary offer will be at the Companys sole discretion and presented as part of a competitive total compensation package.
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