Employer description & source details
Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases Work closely with Support: take ad hoc cases alongside support engineers, and own escalations for your accounts, with regular case reviews and a direct line into L3 engine Work with the right people for each piece of work: Partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands on projects in Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else Specialist depth in data modeling, query performance and integration on distributed or analytical databases Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth Hands-on cloud experience (AWS, GCP and/or Azure) and a working knowledge of Kubernetes You explain technical trade-offs clearly, to engineers and to executives Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid Involvement in open source, as a user, contributor or community member You'll be based in I
Extracted skills: sql, aws, azure, gcp, kubernetes