Data Architect

-Enterprise Data Architecture Design and Roadmap: Define, design, and evolve the end‑to‑end data architecture—including data models, domains, integration patterns, quality controls, and security—so it scales with business growth and strategic objectives.
-Platform Operations: Build, automate, and operate cloud data platforms and pipelines (Azure, Snowflake, Power BI, SAC, Google Cloud Platform, BigQuery, Looker, Databricks, Spark, Data connectors, and integration software (Apache Airflow), Funnel).
-Data Governance & Compliance: Establish and enforce governance policies, ownership models, and data‑quality/security standards; drive adoption across business units to ensure trusted, compliant data assets.
-Analytics Enablement and Delivery: Lead and support analytics initiatives, integrating external and internal data sources, harmonizing datasets and producing models, dashboards, and self-service data products.
-Technical Leadership and Support: Act as principal consultant for data technologies and mentor data teams, ensuring alignment with data standards.
-Innovation and Continuous Improvement: Promote innovation and continuous improvement in data infrastructure and practices.

-5–10+ years of experience in cloud data architecture, data lakes/warehouses, and BI solutions
-Hands-on with Azure, Snowflake, Databricks or Google Cloud Platform
-Familiar with Power BI, Looker, BigQuery, Apache Airflow or similar tools
-Experience with automation (IaC, CI/CD), data quality, and real-time data ingestion
-Knowledge of governance, security, Data Mesh or Master Data Management is a plus
-Proven ability to lead data initiatives and mentor tech teams
-Strategic mindset with strong business understanding and communication skills
-Fluent in English (spoken and written)

-Hybrid working model
-Flexible working hours
-Ticket Restaurants
-Pension plan
-Fully equipped Gym
-Breakfast and fresh fruit