Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Senior Technical Delivery Manager - Data Platforms

seniorremoteWarszawa, PLСкор 68/1001д назад
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
DatabricksData WarehousingProject ManagementSnowflakeCloudDelivery ManagementData Meshagileairflowawsazurebacklog
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Exerizon is a fast-growing strategy and technology consulting firm founded by former senior leaders from global consulting and cloud organizations. We help current and future market leaders tackle their greatest challenges — from digital strategy and cloud transformation to data & AI platforms and application modernization. We redefined the traditional consulting model: we share risk with our clients through impact-based remuneration, and we share ownership with our people from day one. We are looking for a Senior Technical Delivery Manager to lead data platform programmes for our clients — lakehouse and warehouse builds, migrations and modernisation on Databricks and Snowflake . This is a technical leadership role, not a pure PMO seat: you own scope, plan, budget, quality and the client relationship, and you understand the architecture, the pipelines and the cost model well enough to challenge both the team and the client. What you will do Lead end-to-end delivery of data platform engagements — mobilisation, discovery, build, migration, go-live and hypercare — on Databricks and Snowflake, typically on Azure or AWS Own the delivery plan, scope, budget, staffing and risk register; run steering committees and report to client executives with no surprises Shape and defend the technical approach with the lead architect: lakehouse (medallion) vs. warehouse-centric design, ingestion patterns (batch, CDC, streaming), transformation (dbt, Delta Live Tables), orchestration (Databrick
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs