Designs and maintains enterprise‑level data models that support analytics, BI, and reporting.
Defines data architecture standards, best practices, and canonical models.
Oversees data warehouse, data lake, or lakehouse environments and supports ETL/ELT, API integrations, and real‑time pipelines.
Implements data governance frameworks including lineage, cataloging, quality, and compliance with regulatory requirements.
Translates business data needs into technical requirements and collaborates with cross‑functional teams.
Supports BI teams with optimized data structures for dashboards, KPIs and self-service analytics.
Evaluates and introduces modern data tools and leads platform modernization (cloud, real‑time analytics, metadata automation).
Optimizes data platform performance, security, cost, and scalability.

At least 5 years of previous experience in data architecture or data engineering
BSc in Computer Science, Information Systems, Engineering, or related field
Advanced SQL and experience with major databases (SQL Server, Oracle, PostgreSQL, Snowflake, BigQuery, etc.)
Experience with cloud platforms (Azure preferred; AWS/GCP)
Knowledge of ETL/ELT tools (ADF, Databricks, SSIS, Airflow), APIs and data formats (JSON, XML, Parquet)
Familiarity with BI tools (Power BI)
Understanding of data governance tools (Purview, Collibra, Alation)
Strong communication and stakeholder management skills

Data Architect

Key skills