🚀 Cloud Data Architect (m/k) 🚀

🚀 Cloud Data Architect (m/k) 🚀

Team Up Recruitment

Praca zdalna

Opole
Kraków
Wrocław
Katowice
Łódź
Praca stała
B2B
AWS
lakehouse
data warehouse
ELT
ETL
Python
Airflow
SQL
data governance
DevOps

Hexjobs Insights

Role: Data Architect. Responsibilities include defining data platform architecture, designing ETL pipelines, and enabling AI/ML use cases. Requirements include AWS and SQL experience. Benefits: international environment, stable project, support for learning.

Słowa kluczowe

AWS
lakehouse
data warehouse
ELT
ETL
Python
Airflow
SQL
data governance
DevOps

Benefity

  • International work environment
  • Stable, long-term project
  • Strong learning and development support

💼 Role: Data Architect🌍 Location: Hybrid from Katowice (1 day/week in the office)📆 Start: ASAP📄 Contract: UoPWe’re looking for a hands-on Data Architect for our client to build a next-generation cloud data and AI platform. This role was created as part of a broader business and technology transformation, as the company is simplifying its stack. You will own key architectural decisions and set the long-term direction for the platform.➡️ You will lead the architecture of an AWS lakehouse and work closely with cloud, network, and product teams to support the evolution toward a full Network-as-a-Service ecosystem, with real long-term impact on the platform’s future.🔧 What you’ll do:Define and evolve the end-to-end data platform architecture, including ingestion, lakehouse/warehouse, orchestration, governance, observability, and AI enablementDesign scalable ELT/ETL pipelines across systems such as Salesforce, backend platforms, CMDB, network telemetry, and external partnersDefine standards for raw, refined, and curated data layers, ensuring data quality, lineage, and reprocessabilityIntroduce CDC, schema evolution, and automated ingestion patternsDesign governance and metadata architecture, including catalogues, lineage, and ownershipEnable AI/ML and automation use cases by building strong, production-ready data foundationsAct as the technical authority for data architecture decisions across teams✅ Requirements:Strong hands-on experience building modern cloud-native data platforms (AWS preferred)Experience in lakehouse or data warehouse architectures (e.g. Redshift, Snowflake, Databricks)Experience with modern lakehouse table formats (e.g., Apache Iceberg, Delta Lake, or Apache Hudi)Hands-on experience with ELT/ETL and orchestration (e.g. Airbyte, dbt, Spark, Python, Airflow, Dagster, Prefect)Strong SQL and Python skillsExperience working with structured, semi-structured, and streaming dataKnowledge of data governance, catalogues, lineage, and metadata management (e.g. DataHub or similar)DevOps mindset with Git and everything-as-code practicesAbility to design scalable architectures supporting real-time workflows and event-driven patterns🌟 Offer:International work environmentStable, long-term project2-stage recruitment processStrong learning and development support📩 Interested? Send us your CV and let’s talk! 😊

Wyświetlenia: 4
Opublikowana10 dni temu
Wygasaza 3 miesiące
Rodzaj umowyPraca stała, B2B
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