Tech Stack
Amazon RedshiftAWSAzureCloudETLGoogle Cloud Platform
About the role
- Lead the planning, execution, and delivery of complex data projects across multiple teams.
- Collaborate with data engineers, analysts, and architects to define project scope, technical requirements, and roadmaps.
- Manage project timelines, deliverables, risks, and dependencies using Agile/Scrum methodologies.
- Work closely with business stakeholders to translate their requirements into scalable data solutions.
- Coordinate sprint planning, reviews, and retrospectives; maintain project documentation and JIRA boards.
- Ensure adherence to data governance, security, and compliance standards.
- Provide technical guidance on cloud-based data platforms like Azure, AWS, or GCP.
- Drive continuous improvement through retrospectives, KPIs, and lessons learned.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- 10+ years of experience in the IT industry.
- At least 4+ years in a Technical Project Management role.
- Strong understanding of Data Warehousing, ETL/ELT, Data Lakes, Data Pipelines.
- Hands-on knowledge of Azure Data Factory, Databricks, Snowflake, Power BI, AWS Glue/Redshift.
- Experience with Agile methodologies (Scrum, Kanban) and tools like JIRA, Confluence.
- Proven ability to manage multiple stakeholders and cross-functional teams.
- Excellent communication, organizational, and leadership skills.