2 дня назад
Staff Solutions Engineer (Data)
194 212 - 242 765$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Solutions Engineer (Data) (dbt/cloud data platforms): Designing enterprise-grade data transformation and analytics architectures for strategic customers with an accent on technical discovery, measurable business outcomes, and customer evaluation. Focus on solving complex architecture, security, governance, and deployment challenges across SQL, dbt, cloud data warehouses, and modern data ecosystems.
Location: New York City, United States; hybrid
Salary: $194,212–$242,765 USD annual base pay; OTE of $242,765–$303,456.25 USD
Company
provides automated data movement and data infrastructure that helps organizations make their data reliable and ready for analytics and AI.
What you will do
- Lead technical discovery with enterprise customers and connect technical requirements to measurable business outcomes.
- Design enterprise-grade data transformation and analytics architectures using dbt.
- Partner with Sales to communicate the technical and business value of the dbt platform.
- Lead customer evaluations, technical validation, trials, and proof-of-value engagements.
- Guide customers through architecture, security, governance, deployment, adoption, and expansion.
- Share customer insights with Product and Engineering and develop reusable best practices for the Field Engineering organization.
Requirements
- 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role in data, analytics, or BI.
- Strong foundation in SQL, data transformation, ETL/ELT, and data modeling.
- Strong understanding of modern cloud data warehouses, lakehouses, and analytics architectures.
- Ability to translate technical and business requirements into concrete solutions and measurable outcomes.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- Ability to build trusted relationships with data practitioners, executives, Sales, Product, Engineering, and Customer teams.
Nice to have
- Experience with dbt or analytics engineering.
- Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms.
- Knowledge of dimensional modeling, Kimball, Data Vault, or 3NF methodologies.
- Experience with Informatica, Boomi, Talend, or other enterprise data integration platforms.
- Experience supporting enterprise evaluations, migrations, or transformation initiatives.
Culture & Benefits
- Employer-paid medical insurance, with coverage varying by country and worker type.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, parental leave, holidays, volunteer days, and a Global Week of Rest.
- RSU stock grants and a monthly cell phone stipend.
- Professional development and training opportunities.
- Mental health support including therapy, coaching, and mindfulness resources.
- Virtual social events, free food, and team-building activities.
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