Solutions Architect

JoinphData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

We are looking for a Solutions Architect to join our Data Engineering team. In this role, you will partner directly with clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment. You'll combine deep technical expertise with strong consulting skills to solve complex technical challenges, advise technical leaders, and communicate effectively with executive stakeholders. You won't simply design solutions—you'll lead their successful delivery while embracing AI-first engineering practices that improve speed, quality, and client outcomes.

Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.

Serve as the primary technical advisor throughout client engagements.

Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.

Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.

Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.

Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

You are a client-facing technical leader who enjoys solving complex data challenges and driving clear outcomes from ambiguity. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. You combine strong communication and consulting skills with deep hands-on expertise in modern Data & AI platforms and engineering practices. You are equally comfortable leading technical discussions with engineering teams, influencing executive stakeholders, and helping clients navigate complex architectural decisions while delivering measurable business value.

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, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.

Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.

Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.

Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.

Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Preferred qualifications help candidates stand out but are not required for success in this role.

Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or Databricks.

Contributions to technical communities through speaking, writing, open source, or internal enablement.

Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)

Accelerated learning and professional development through advanced training and certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

- Ability to lead discovery sessions and translate business goals into technical requirements

- Experience leading engineering teams through full delivery lifecycle (discovery to production)