Senior Data Platform Solutions Architect

Amazon

Seattle (WA)

On-site

USD 154,000 - 208,000

Full time

8 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
RSUs
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement
Basic Life & AD&D insurance
Supplemental life plans

Job summary

Amazon.com Services LLC is seeking a Solutions Architect within the Business Data Technologies (BDT) organization to bridge data platform builders with internal teams transforming data usage at scale.

You will lead architecture reviews for large-scale data systems, define requirements, and craft reusable guidance to accelerate data lake implementations across Amazon, while communicating clearly with senior stakeholders.

Qualifications

  • 8+ years in technology domains such as data/analytics, cloud, or infrastructure.
  • 3+ years designing or consulting on large-scale data systems.
  • 10+ years IT development or implementation/consulting experience in software/Internet industries.
  • Ability to communicate effectively with all levels of the organization.

Responsibilities

  • Lead architecture reviews and provide guidance for large-scale data systems.
  • Define and validate requirements with internal teams to address data platform needs.
  • Create reusable architecture patterns and onboarding documentation for teams.
  • Drive root-cause analysis and translate feedback into product and engineering improvements.
  • Build trusted advisor relationships and support migrations from legacy platforms.

Skills

Cloud computing
Data & analytics
Software development
Systems engineering
Infrastructure
Security
Networking
Communication

Tools

AWS
Cloud technologies

Job description

Amazon.com Services LLC is seeking a Solutions Architect within the Business Data Technologies (BDT) organization to bridge data platform builders with internal teams transforming data usage at scale.

You will lead architecture reviews for large-scale data systems, define requirements, and craft reusable guidance to accelerate data lake implementations across Amazon, while communicating clearly with senior stakeholders.

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