Solutions Architect Data Engineering

Solutions Architect - (Data Engineering)

Portland, OR – Full Day, Full Time.

Shape the future of data & AI by architecting solutions that scale. Lead data engineering initiatives, design, build, and optimize scalable data platforms and pipelines using Snowflake and cloud technologies. Work with cross‑functional teams to identify data requirements and deliver production‑grade solutions.

• Design and architect data solutions leveraging Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, and other modern data stack tools.
• Build robust, scalable data pipelines and ETL/ELT processes from source to analytics.
• Optimize performance and cost of data platforms, including data modeling and query tuning.
• Collaborate with data scientists, product and engineering teams to define data requirements and enable data science workloads.
• Mentor and guide junior engineers and promote best practices in data engineering.

• Proven experience as a senior or lead data engineer, with hands‑on expertise in Snowflake.
• Strong knowledge of cloud data platforms, particularly AWS, Azure or GCP, and modern data stack tools.
• Experience with data modeling, ETL/ELT, and performance tuning.
• Strong programming skills in Python, SQL, and related data tools.
• Excellent communication and collaboration skills.
• Demonstrated track record of delivering production‑grade data solutions.

Competitive salary range: $140,000 - $170,000 per year. Join a global leader in data and AI/ML services with a fast‑growing, innovative culture.