Senior Solutions Architect

New
P
phDataData and AI Consulting
US - Remote, Central and Eastern time zonesFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
10+ years
Required Skills
AWSSQLSnowflakeAzure

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, including services such as S3, Aurora, Athena, Redshift, SageMaker, Azure SQL, and Azure Data Factory.
  • Production support experience in large enterprise environments.
  • Strong working knowledge of SQL, with the ability to write, debug, and optimize complex queries.
  • Strong troubleshooting, performance tuning, and database administration skills for cloud data platforms.
  • Daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) 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.
  • Provide architectural guidance and hands-on operational support for platforms such as Snowflake and Amazon Redshift.
  • Act as a technical leader across multiple simultaneous customer accounts, navigating complex environments and aligning stakeholders.
  • Collaborate with cross-functional partners including engineering, analytics, and ML teams to design and build data platforms.
  • Contribute to internal initiatives by codifying best practices and developing accelerators, templates, and playbooks.
  • Mentor and coach team members, fostering a culture of learning and continuous improvement.
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