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