phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K

Description

  • Lead discovery sessions to identify business goals, technical requirements, and solution constraints.
  • Architect scalable, production-ready Data and AI solutions for enterprise clients.
  • Serve as the primary technical advisor throughout client engagements.
  • Recommend architectures, tools, implementation approaches, and technical trade-offs.
  • Create architecture diagrams, design documentation, implementation plans, and technical standards.
  • Own delivery from architecture through production deployment and remove technical blockers.
  • Apply AI across design, engineering, testing, documentation, troubleshooting, and delivery.
  • Advise clients on practical AI adoption strategies.
  • Mentor engineers through technical coaching, design reviews, onboarding, and enablement.
  • Contribute to hiring and technical team development.

Requirements

  • 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
  • Experience designing and delivering enterprise Data and AI solutions into production in cloud environments.
  • Experience using AI technologies throughout the software delivery lifecycle.
  • Strong consulting experience in technical discovery, solution architecture, and client-facing engagements.
  • Hands-on experience with platforms such as Snowflake, Databricks, BigQuery, AWS, Azure, or Google Cloud Platform.
  • Experience with Python, SQL, Java or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
  • Experience with CI/CD, Infrastructure as Code, observability, and monitoring.
  • Experience with enterprise AI tools or frameworks such as Claude, OpenAI, GitHub Copilot, Gemini, Snowflake Cortex, Bedrock, LangChain, or LangGraph.
  • Industry certifications in Snowflake, AWS, Azure, GCP, Anthropic, or Databricks are preferred.
  • Technical community contributions through speaking, writing, open source, or internal enablement are preferred.

Benefits

  • Remote-first workplace.
  • Medical insurance for employees and families, including parents.
  • Term life and personal accident insurance.
  • Wellness allowance and broadband reimbursement.
  • Paid certifications and professional development allowance.
  • Continuous learning, mentorship, and growth opportunities.
  • Bonuses for creating company-approved content.

Interested in this position?

Apply directly on the company website

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