Senior Solution Engineer
Skills
JavaProgramming LanguagesSQLSoftware DevelopmentAmazon Web ServicesEngineeringHTML
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years of experience across data engineering analytics AI/ML software development cloud architecture or technical consulting
- Ability to design end-to-end data platforms including ingestion transformation orchestration serving and governance
- Hands-on proficiency with SQL and at least one programming language such as Python Java or Scala
- Experience with cloud platforms such as AWS Azure or GCP and modern data stack tools like dbt Spark Kafka Airflow or Terraform
- Proven success delivering technical solutions in a customer-facing pre-sales or consulting role
- Exceptional communication skills for both technical and non-technical stakeholders
- Experience engaging executive leaders on business strategy and technology roadmap discussions
Nice to have
- AI-native mindset
- Low-ego
- Experimental mindset
- Builder's mindset
- Full-stack technical breadth
- Comfort in ambiguity
- Business acumen
Day to day
- Act as the technical trusted advisor for enterprise customers and prospects.
- Lead discovery sessions solution design and proof-of-value engagements that translate business needs into scalable Snowflake architectures.
- Deliver persuasive demos presentations and workshops while partnering with account teams to drive pipeline accelerate deals and support customer decisions.
- Serve as a customer voice to product and engineering and build reusable demos reference architectures and accelerators.