**Senior Analytics Solutions Architect**

1 week ago

Golden Horseshoe, Canada Amazon Web Services Canada, Inc. - D46 Full time
About the Role

We are seeking a highly skilled Sr. Analytics Solutions Architect to join our team at Amazon Web Services Canada, Inc. - D46. As a key member of our Data and AI Solutions team, you will be responsible for designing and implementing cutting-edge analytics solutions for our customers.

Key Responsibilities
  1. Thought Leadership**: Develop and share best practices in analytics and data science through various channels, including AWS blogs, whitepapers, and public speaking events.
  2. Customer Engagement**: Collaborate with sales, business development, and data science teams to accelerate customer adoption and provide guidance on customer engagements.
  3. Technical Liaison**: Act as a liaison between customers and the AWS Analytics services teams to provide customer-driven product improvement feedback.
  4. Community Development**: Develop and support an internal community of analytics-related subject matter experts worldwide, creating field enablement materials to help Solution Architects integrate Amazon Web Services Data solutions into customer architectures.
  5. Customer Advisor**: Build prototypes, PoCs, and explore new solutions, interacting closely with customers and the academic community.
About the Team

We value diverse experiences and encourage candidates from all backgrounds to apply. Our team is committed to fostering a culture of inclusion, where everyone feels valued and empowered to contribute.

As a member of our team, you will have the opportunity to work on high-impact projects, collaborate with cross-functional teams, and develop your skills and expertise in analytics and data science.

Requirements
  1. 7+ years of experience in design, implementation, or consulting in applications and infrastructures.
  2. 5+ years of management experience in technical, customer-facing resources.
  3. 5+ years of analytics experience.
Preferred Qualifications
  1. 5+ years of infrastructure architecture, database architecture, and networking experience.
  2. Experience working with end-user or developer communities.
  3. Experience managing data and ETL pipelines.
  4. Experience as a leader and mentor on a data analytics team.
  5. Active in the open-source community, such as Apache Spark.
  6. Large distributed big data processing and data warehouse experience.

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