Pre-sale Data Architect

Описание

Position Overview: We are actively seeking a seasoned Pre-Sales Architect to join our dynamic team. This role is instrumental in helping our company overcome challenges and drive success through effective pre-sales support. The ideal candidate will leverage their extensive experience in Data Modeling, SQL, and related technologies to assist our clients in making informed decisions.

Timezone requirements: CET/Ukraine time is ok

Key Responsibilities:Collaborate closely with the sales team to understand customer needs and objectives.Develop and present tailored technical solutions and proposals to potential clients.Provide expert guidance and recommendations during the pre-sales process.Work with code versioning tools and CI/CD pipeline tools, such as Jira and BitBucket.Engage in effective communication with both technical and non-technical stakeholders.Manage multiple tasks and projects efficiently within tight deadlines.Thrive in a fast-paced, remote working environment.Demonstrate attention to detail, ensuring quality and accuracy in all tasks.Requirements:Minimum of 7 years of relevant experience with strong expertise in Data Modeling.Solid proficiency in SQL and familiarity with various databases.Proficient understanding of code versioning tools and CI/CD pipeline tools (e.g., Jira, BitBucket).Strong verbal and written communication skills, with the ability to liaise effectively with both technical and non-technical stakeholders.Exceptional organizational skills, including the management of multiple tasks and projects within strict deadlines.Comfortable working in a fast-paced, remote environment.Detail-oriented with a commitment to quality and accuracy in all tasks.Preferred Qualifications:Experience in the consumer product goods industry or with large enterprises.Prior experience in quality assurance, business analysis, or systems analysis roles.Familiarity with UX/UI design principles and tools, with some experience in data visualization.Knowledge of cloud environments (e.g., AWS, Azure) is an advantage.Tech Stack:
Backend:Programming Language: Python 3.11.2 (latest)Package Manager: PoetryWeb Framework: FastAPIObject-Relational Mapping (ORM): SQLAlchemyLinting: RuffCode Formatter: IsortTesting Framework: PytestProperty-based Testing: HypothesisDatabase: PostgreSQLFrontend:Programming Language: TypeScriptPackage Manager: PNPMFramework: ReactState Management: ZustandRouting: React RouterData Fetching: TanStack Query (successor to react-query)Build Tool: ViteUnit Testing: VitestComponent Testing: React Testing LibraryEnd-to-End Testing: PlaywrightUI Kit (to be determined)Linting: ESLint + typescript-eslintCode Formatting: PrettierAdditional Technologies:Docker and Docker ComposeKubernetesAirflowAzureSnowflakePostgreSQL