Solutions Architect
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Job Description
Solutions Architect designing and delivering enterprise Data & AI platforms for phData, a remote-first data and AI consultancy. Leading client discovery, architecture, engineering delivery, and AI adoption across LATAM.
Responsibilities:
- Lead discovery sessions to uncover business goals, technical requirements, and solution constraints
- Translate complex client challenges into scalable, production-ready Data & AI architectures
- Serve as the primary technical advisor throughout client engagements
- Recommend architecture, tooling, implementation approaches, and technical trade-offs
- Develop architecture diagrams, design documentation, implementation plans, and technical standards
- Lead enterprise Data & AI solution delivery from architecture through production deployment
- Guide engineering teams through implementation, identify technical risks, and remove delivery blockers
- Leverage AI throughout the software delivery lifecycle to improve design, productivity, documentation, testing, troubleshooting, and client outcomes
- Guide clients on practical AI adoption
- Mentor engineers through architectural guidance, technical coaching, and design reviews
- Contribute to hiring, onboarding, and technical enablement
Requirements:
- 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles
- Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments
- Demonstrated experience delivering with AI and leveraging modern AI technologies throughout the software delivery lifecycle
- Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements
- Hands-on experience with cloud and data platforms such as Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform
- Hands-on experience with data engineering technologies including Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar
- Experience with CI/CD, Infrastructure as Code, observability, and monitoring
- Experience incorporating AI into engineering and solution delivery using enterprise AI platforms and frameworks such as Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, or LangGraph
- Client-facing technical leadership and consulting capability
- Ability to operate in distributed, global teams across time zones
- Preferred but not required: industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks
- Preferred but not required: contributions to technical communities through speaking, writing, open source, or internal enablement
Benefits:
- Snowflake Implementation Partner of the Year recognition and access to work with leading technology partners
- Impactful work on meaningful data & AI initiatives
- Supportive, high-performing global team
- Autonomy, transparency, and continuous improvement culture
- Challenging projects, mentorship, and structured development pathways
- Competitive compensation
- Excellent benefits
- Generous PTO plan
- 10 holidays
- Other perks
- Accelerated learning and professional development through advanced training and certifications
- Remote-first work environment
- Casual, award-winning small-business work environment
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