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phData

Solutions Architect

RemoteIndia only
Published
Role
Data Engineering
Experience
Lead
Employment
Full-time
Salary not disclosed
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No BS summary

Lead-level Solutions Architect for Data & AI with 8+ years experience. Must have deep hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery, AWS/Azure/GCP), Python/SQL and modern data engineering tooling; client-facing consulting experience is required. Role is hiring in India (Bangalore), remote-first/consulting context.

Core skills

SnowflakeData & AI architecture

Required skills

DatabricksGoogle BigQueryAWSMicrosoft AzureGCPPythonSQLJava/ScalaSparkKafkaAirflowdbtFivetranMatillionCI/CDInfrastructure as CodeobservabilityAnthropic ClaudeOpenAIGitHub CopilotMicrosoft CopilotGoogle GeminiSnowflake Cortex AIAWS BedrockLangChainLangGraph

Optional skills

Industry certifications across Snowflake, AWS, Azure, GCP, Anthropic, and/or DatabricksContributions to technical communities (speaking, writing, open source, internal enablement)Paid certifications / professional development experience

What you'll do

  • 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.

What they require

  • 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.

Benefits

  • Remote-First Workplace
  • Medical Insurance for Self & Family
  • Medical Insurance for Parents
  • Term Life & Personal Accident
  • Wellness Allowance
  • Broadband Reimbursement
  • Continuous learning and growth opportunities to enhance your skills and expertise
  • Paid certifications
  • Professional development allowance
  • Bonuses for creating company-approved content
  • Impactful Work: Partner with leading organizations on meaningful data & AI initiatives
  • Collaborative Culture: supportive, high-performing global team
  • Growth Opportunities: mentorship and structured development pathways
  • Values-Driven: emphasis on doing the right thing for clients, teams, and community

Data and AI Consultancy

NullMid-size
Salary not disclosed