Senior Solutions Architect

New
P
phDataData and AI Consulting
This role is based in the US, Central and Eastern time zonesFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
10+ years
Required Skills
AWSSQLSnowflakeAzureData engineering

Requirements

  • 10+ years of experience in modern cloud data platforms, data warehousing, consulting, and data engineering/operations.
  • Extensive experience providing architectural guidance and operational support for cloud-native data warehouses such as Snowflake and/or Amazon Redshift.
  • Expertise with cloud-native data technologies in AWS and/or Azure (e.g., S3, Aurora, Athena, Redshift, SageMaker, Azure SQL/DevOps).
  • Production support experience in large enterprise environments.
  • Strong working knowledge of SQL, including writing, debugging, and optimizing complex queries.
  • Strong troubleshooting, performance tuning, and database administration skills.
  • Active daily use of AI coding tools (e.g., Cursor, GitHub Copilot, Claude, ChatGPT) with demonstrated judgment.
  • Experience delivering projects for external or internal clients in a professional services or consulting environment.
  • Strong written and verbal communication skills in English.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

  • Own and drive the operation, reliability, and continuous improvement of modern cloud data platforms for enterprise customers.
  • Translate business and technical requirements into robust cloud-native data platform architectures and implementation plans.
  • Act as a technical leader across multiple simultaneous customer accounts, navigating complex environments and aligning stakeholders.
  • Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and operational reviews.
  • Partner with practice and account leaders to build project roadmaps and delegating tasks effectively to engineers.
  • Lead complex incident response and post-incident review efforts to drive systemic improvements.
  • Mentor and coach team members to foster a culture of continuous improvement in platform operations.
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