Solutions Architect

phData · Remote

Remote · open to India8+ yearsPosted 30+ days agoLast checked 13 Nov 2026

Free account: apply link, HR contact and an AI-written cold email

About the role

Join phData , 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. Why phData? Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network 2025 Fivetran Partner of the Year (4th consecutive year) 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status 2026 KNIME Customer Excellence Partner of the Year Preferred Partner in the Anthropic Claude Partner Network #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) Recognized as an award-winning workplace in the US , India and LATAM Solutions Architect Data Engineering Role Overview 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. Key Responsibilities 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.

Skills mentioned

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • GCP
  • CI/CD
  • Kafka
  • Spark
  • Airflow
  • Snowflake

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