Manager, Data Engineering
Posted Oct 10 (15 days ago) · Last updated Oct 25
Key facts
Data Engineering Manager in Toronto; leads client data and AI architecture, platforms and strategic delivery.
How this salary compares
Too few postings state a salary to show this.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| manager-level roles | €5,000 per month | €5,625 per month | €6,250 per month |
| This offer | €5,000 per month | €5,625 per month | €6,250 per month |
Estimated from 1 comparable listing
- Field
- Data & analytics
- Languages required
- English
Original job ad
As published by Avanade
This is the employer's own ad. Pay, requirements and the other details on this page are our reading of it, not facts the employer confirmed.
About the role
Summarised by JobCrawls from the job ad above.
Requirements
- Excellent working knowledge of Microsoft and Databricks
- Experience in data, applied intelligence, automation, IoT, or related technologies
- Awareness of market channels and the Microsoft partner ecosystem
- Strong interest in helping clients understand the evolving Data & AI industry and its products and services
- Experience developing technical visions, high-level architectures, and delivery roadmaps for large enterprise Data & AI programs
- Deep understanding of responsible data-platform and migration principles, practices, and regulatory frameworks
Responsibilities
- Provide technical leadership to client delivery teams and stakeholders
- Shape deals, propositions, architecture decisions, plans, roadmaps, and design artifacts
- Develop client solutions and shape proposal designs, estimates, and contractual details
- Coach and mentor junior colleagues
- Communicate technical solutions to business stakeholders, technology leaders, and sales teams
- Qualify opportunities, capture requirements, advise clients, and present and negotiate solutions
- Develop Data & AI offerings, accelerators, and intellectual property
- Advance AI development practices, data management, model training, fine-tuning, and deployment
- Lead development of data platforms, analytics, real-time intelligence, and reporting solutions
- Identify and implement cross-industry data and automation migration, visualization, platform modernization, and governance solutions
- Drive growth in Data & AI, integrate it with other solution areas, and expand managed services and multi-year engagements
Skills & technologies
Benefits & perks
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About Avanade
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