Solutions Architect - Data Engineering
Core
Partner with clients to architect, design, and lead the delivery of scalable Data & AI solutions from discovery through production deployment.
Role type
Senior Solutions Architect (Data Engineering & AI)
Builds
Enterprise Data & AI solutions for large enterprises
Domain
Cloud Data Engineering & AI
Deliverable
production ML models | product features
Required skills
Solutions Architecture, Data Engineering, Cloud Platforms (Snowflake, AWS, Azure, GCP), Data Engineering (Python, SQL, Spark, Kafka, Airflow, dbt), AI Integration (LLMs, RAG, AI Ops), CI/CD, Infrastructure as Code, Technical Consulting, Team Leadership
Preferred skills
Industry certifications (Snowflake, AWS, Azure, GCP, Databricks), Technical community contributions
Technologies
Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform, Python, SQL, Java, Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph
Responsibilities
Lead discovery sessions to define business goals and technical requirements; Serve as primary technical advisor for client engagements; Develop architecture diagrams, design documentation, and implementation plans; Lead engineering teams through solution delivery and risk management; Integrate AI tools into the software delivery lifecycle; Mentor engineers and contribute to hiring and technical enablement
Seniority
Senior, hands-on IC with leadership responsibilities