Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Hiring @ 4
API @ 3
Databricks @ 3
Snowflake @ 3
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Joining Collibra’s Customer Engineering team
Collibra is hiring a Senior Customer Engineer to provide deep technical expertise across the customer journey (pre- and post-sale). The role partners closely with Customer Engineers and cross-functional teams to map Collibra solutions to customer value, advise technical stakeholders, build and maintain lab/demo environments, and share field insights with Product and Engineering.
Responsibilities
- Provide timely technical expertise on Collibra's products to customers, prospects, partners, and internal teams.
- Map solutions to business and technical requirements for large and dynamic customers.
- Advise and support customers' technical stakeholders to accelerate adoption and value realization.
- Create and maintain lab environments and playbooks for demonstrations and evaluations.
- Collaborate with Product by providing early product feedback and sharing field observations and customer insights.
Requirements
- 2+ years in a Customer Engineering, Solutions Engineering, or technical customer-facing role supporting enterprise software, with 4+ years total experience in the data ecosystem.
- Good understanding of two or more of: data governance, data catalogs, data integration, data quality, and data privacy platforms, and how they support "AI-ready data".
- Familiarity with modern cloud data infrastructure, including PaaS providers, Data Lakes, Lakehouses, Cloud Warehouses (examples: Snowflake, Databricks), and API-driven integration platforms.
- Hands-on experience configuring, integrating, and troubleshooting complex enterprise software solutions.
- Bachelor's degree or equivalent related working experience.
- Effective communicator able to explain complex technical concepts to technical and business audiences.
- Willingness to travel up to 20%.
- This position is not eligible for visa sponsorship.
Measures of success
- Within 1 month: clearly explain the value of the Collibra platform and key concepts.
- Within 3 months: conduct product demonstrations and present solutions aligned to customer value with minimal support.
- Within 6 months: achieve two Collibra certifications and be able to set up, configure, and troubleshoot Collibra Platform integrations.
- Drive operational excellence to ensure the sales process runs smoothly.
Compensation
- Standard base salary range: $140,000 - $175,000 per year.
- Eligible for additional commission-based compensation.
- Offers are based on experience, skills, and location.
- Additional components: equity ownership, bonus potential, Flex Fund monthly stipend, pension/401(k) plans, and more.
Benefits
- Competitive compensation, health coverage, flexible benefits, and time off.
- Inclusion and belonging initiatives; accommodations for applicants available.
Additional information
- Remote role based in the United States (East Coast preference indicated).