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- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Director
- Application method
- Direct apply is available
Job summary
Lead end-to-end delivery of enterprise data warehouse and data engineering initiatives, managing plans, budgets, risks, teams, and technical workstreams through deployment and production support. Serve as the primary client and stakeholder contact, oversee technical delivery and quality, and guide distributed teams toward agreed scope, timelines, and outcomes.
Job details
About CloudLabs: CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments. Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business. With offices in the US, Canada, & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress. Please write & follow us here: Website: cloudlabsit.com LinkedIn: CloudLabs Inc Email us: info@cloudlabsit.com What we offer: We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate. Flexible remote work. Opportunity to work remotely is available. Experience Required: Minimum 10-15 years of Experience Required Technical Skills: Snowflake, dbt, ETL design, AWS Job Location: Canada - Remote Job Type: Fulltime or Permanent or Contract VISA Status: Either Canadian citizens Time zone Preferred: Candidates in EST or CST time zones only Department: Data & Analytics Position Overview: We are looking for an experienced Data Warehouse Technical Project Manager to lead end-to-end delivery of enterprise data warehouse and modern data platform initiatives. The role requires a strong combination of project management, data engineering knowledge, stakeholder management, and technical delivery leadership. The candidate will be responsible for managing cross-functional teams across data engineering, data modeling, BI, QA, and business stakeholders to deliver scalable, high-quality data solutions within agreed timelines, budgets, and scope. Key Responsibilities: Project & Program Management: Lead end-to-end delivery of data warehouse and data engineering projects, from requirement gathering and planning through deployment and production support. Develop project plans, timelines, milestones, resource plans, budgets, and delivery schedules. Manage project scope, risks, dependencies, issues, and change requests. Drive Agile/Scrum ceremonies, sprint planning, daily stand-ups, sprint reviews, and retrospectives. Track project KPIs, delivery progress, resource utilization, and financial performance. Manage multiple workstreams and geographically distributed teams across US and offshore locations. Data Warehouse Technical Leadership: Understand enterprise data warehouse architectures, data integration patterns, ETL/ELT pipelines, and modern cloud data platforms. Work closely with data architects and technical leads to translate business requirements into technical deliverables. Oversee data ingestion, transformation, data modeling, data quality, and reporting workstreams. Review high-level solution designs, source-to-target mappings, data models, and technical implementation plans. Identify technical risks related to data volume, performance, scalability, data reconciliation, and system integration. Coordinate data migration, testing, deployment, and production cutover activities. Stakeholder & Client Management: Serve as the primary point of contact for client stakeholders, business leaders, and technical teams. Conduct project governance meetings, steering committee presentations, and executive status reviews. Manage stakeholder expectations, communicate delivery risks, and drive timely decision-making. Convert business requirements into actionable technical tasks and delivery milestones. Build strong client relationships and identify opportunities for additional data and analytics initiatives. Team & Delivery Management: Lead and mentor data engineers, data modelers, QA engineers, business analysts, and technical leads. Manage resource allocation, capacity planning, onboarding, and utilization. Ensure adherence to engineering standards, development methodologies, documentation, and quality processes. Drive continuous improvement in delivery efficiency, automation, and engineering productivity.
What you’ll do
Lead end-to-end delivery of enterprise data warehouse and data engineering initiatives, managing plans, budgets, risks, teams, and technical workstreams through deployment and production support. Serve as the primary client and stakeholder contact, oversee technical delivery and quality, and guide distributed teams toward agreed scope, timelines, and outcomes.
Requirements
Requires 10–15 years of experience and technical knowledge of Snowflake, dbt, ETL design, and AWS. The role also calls for strong project and program management, data warehouse and engineering expertise, Agile/Scrum delivery, stakeholder communication, and leadership of cross-functional teams.
Benefits
- Flexible Remote Work
Listed skills
- Risk Management · Preferred
- Amazon Web Services · Preferred
- Project management · Preferred
- Stakeholder Management · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Snowflake
- dbt
- ETL Design
- AWS
- Project Management
- Data Warehousing
- Data Engineering
- Agile/Scrum
- Stakeholder Management
- Data Modeling
- Data Integration
- Data Quality
- Risk Management
- Resource Planning
- Client Management
- Production Deployment
Job areas
- Data & Analytics
- Technology
- Management & Leadership
- Consulting