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Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect (Lakebase): Driving product adoption and strategic growth for the Lakebase product line with an accent on transactional database expertise and cloud-native architecture. Focus on influencing product roadmaps, designing high-impact engagement strategies, and solving complex technical challenges for enterprise clients.
Location: London, United Kingdom
Company
Databricks is the data and AI company that provides a unified Data Intelligence Platform for data, analytics, and AI, trusted by over 10,000 organizations worldwide.
What you will do
Collaborate with account teams to design and execute high-impact engagement strategies across your territory.
Serve as a trusted advisor and technical champion to drive product adoption and vision with stakeholders.
Enable clients through workshops and the development of technical collateral and thought leadership.
Influence the product roadmap by translating field-derived insights into strategic recommendations for R&D teams.
Act as a tier-3 escalation point for the most complex technical challenges in mission-critical environments.
Requirements
6+ years in a customer-facing, pre-sales, or consulting role influencing technical executives.
10+ years of transactional database (OLTP) expertise across engineering, administration, and pre-sales.
Proficiency in programming, debugging, and problem-solving using SQL and Python.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
Broad experience in at least two of the following: data engineering, data warehousing, AI, ML, governance, or streaming.
Undergraduate degree in a technical field such as Computer Science, Applied Mathematics, or Engineering.
Nice to have
Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations.
Proven track record of shaping and prioritizing roadmap capabilities based on market insight.
Culture & Benefits
Comprehensive benefits and perks tailored to regional needs.
Commitment to a diverse and inclusive culture with equal employment opportunity standards.
Opportunity to work with industry-leading technologies like Lakehouse, Apache Spark, Delta Lake, and MLflow.
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