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Senior Customer Architect
| Company | Imply |
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| Location | Burlingame, CA, USA |
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| Salary | $200000 – $280000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 3+ years of experience in big data, analytics, or distributed systems with customer-facing responsibilities across pre-sales and/or post-sales.
- Strong knowledge of big data architectures, databases, data warehouses, and streaming technologies (e.g., Kafka, Spark, Druid).
- Hands-on experience in at least one cloud platform (AWS, GCP, or Azure) and proficiency in SQL and a programming language (e.g., Python, Java).
- Proven ability to deliver enterprise solutions, guide customers through technical challenges, and demonstrate measurable business value to drive renewals and customer satisfaction.
- Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- A collaborative mindset with a focus on fostering customer success, retention, and growth.
Responsibilities
- Collaborate with sales teams to design and present technical solutions that address customer needs during pre-sales engagements, contributing to new and growth revenue opportunities.
- Lead customer implementations, ensuring smooth onboarding, measurable value delivery, and establishing a foundation for long-term success.
- Act as a trusted advisor by proactively identifying opportunities to optimize solutions, address customer challenges, and uncover additional use cases that drive customer satisfaction and retention.
- Partner with customer success and account management teams to drive renewals by demonstrating continued value through technical expertise and strategic guidance.
- Advocate for customer needs by relaying feedback to product and engineering teams to improve solutions and address gaps.
- Troubleshoot and resolve complex technical issues, building customer trust and loyalty through reliable support.
Preferred Qualifications
- Expertise in real-time analytics platforms (e.g., Druid, Pinot, Cassandra).
- Familiarity with BI tools (e.g., Tableau, Power BI, Looker) and data storytelling.
- Experience with containerized deployments (e.g., Kubernetes, Helm).
- Success in driving outcomes using MEDDIC or similar methodologies.
- Passion for mentoring others and creating a culture of technical excellence.
