Location NY
Onsite Worker will need to work from onsite
Certification in Snowflake is good to have.
Comments for Suppliers: Please ensure person has actually working experience on Snowflake JAVA and Snowpark. Person shall have client handling and team handling experience. And PnL experience
Inviting applications for the role of Senior Principal Consultant - Technical Project Manager.
In this role he/she will lead and manage data engineering projects with a focus on Snowflake and Agile methodologies driving innovation and efficiency in data processing and analytics. You will lead and manage data engineering projects with a focus on Snowflake and Agile methodologies for new Development and migration activities. Drive innovation and efficiency in data processing and analytics.
Responsibilities
- Participating in the design development and implementation of data engineering solutions.
- Manage project timelines resources and deliverables with Quality to ensure the successful completion of the project.
- Collaborate with cross-functional teams to align data strategies with business objectives.
- Mentor and guide team members to foster professional growth and technical expertise.
- Ensure adherence to organizational practices for iterative development and continuous improvement.
- Develop and maintain documentation for data processes and systems.
Preferred Qualifications/ Skills
- Strong leadership skills to inspire and motivate teams.
- Excellent communication abilities for effective collaboration with stakeholders.
- Proficient in project management including planning execution and monitoring.
- Ability to adapt to changing priorities and manage multiple projects simultaneously.
- Experience in risk management and issue resolution
- Agile tools like Jira or Trello for project management.
- Extensive experience with Snowflake for data processing and analytics.
- Knowledge of AWS cloud platforms.
- Proven experience as a technical project manager with client management and reporting.
- Strong knowledge of the Snowflake platform and data engineering processes.
- Experience with AWS data factory pipelines.
- Familiarity with cloud services migration projects with AWS ecosystem.
- Version control systems such as Git for code management