Senior Solutions Architect

Posted Sep 17

This is a fully remote position, open to applicants in United States.

📋 Description

• Facilitate discovery sessions to identify business objectives, technical needs, and solution limitations.

• Convert intricate client issues into scalable, production-ready Data & AI infrastructures.

• Act as the primary technical consultant during client interactions.

• Suggest architecture, tools, implementation strategies, and technical compromises.

• Create architecture diagrams, design documentation, implementation plans, and technical guidelines.

• Oversee the successful implementation of enterprise Data & AI solutions from architecture to production deployment.

• Support engineering teams during implementation and eliminate delivery obstacles.

• Utilize AI in software delivery to enhance design, productivity, documentation, testing, troubleshooting, and client results.

• Advise clients on practical AI integration.

• Coach engineers through architectural insights, technical mentorship, and design evaluations.

• Participate in recruiting, onboarding, and technical training initiatives.


⛳️ Requirements

• 8+ years of experience in Solutions Architecture, Data Engineering, or similar consulting roles.

• Proven track record of designing and implementing enterprise Data & AI solutions in production within cloud environments.

• Demonstrated experience in utilizing AI and modern AI technologies throughout the software delivery lifecycle.

• Strong consulting background with experience in leading technical discovery, solution architecture, and client-facing projects.

• Practical experience with a range of tools, including Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform.

• Proficient in programming languages and technologies such as Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar.

• Familiarity with CI/CD, Infrastructure as Code, observability, and monitoring practices.

• Experience implementing AI using technologies such as Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar platforms and frameworks.

• Comfortable working in distributed, global teams and collaborating across various time zones.


🏝️ Benefits

• Remote-First Work Environment

• 401k plan with company match

• Dental and Vision insurance

• Home Office Equipment Stipend

• Annual stipend for Learning and Development

• Competitive compensation

• Excellent benefits

• 4 weeks PTO plan

• 10 Holidays

• Access to challenging projects, mentorship, and structured development pathways

• Supportive, high-performing global team

• Impactful work on meaningful data & AI initiatives

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