Senior Data Architect

Role Overview

• Design and implement scalable data pipelines (ETL/ELT);
• Lead the migration from Azure to AWS;
• Work with Lakehouse architectures (Delta Lake / Iceberg);
• Integrate tools such as ADF, Synapse, Glue, and Databricks;
• Ensure data governance, quality, and orchestration;
• Support solutions that underpin Machine Learning models.

Requirements

• Strong experience with Python, Spark (PySpark), and Databricks
• Experience with Airflow and/or orchestration (ADF, Step Functions)
• Experience with AWS (Glue, EMR, Lake Formation) and Azure
• Knowledge of Data Lakes / Lakehouse (Delta, Parquet, Iceberg)
• Experience with systems such as Snowflake, Redshift, PostgreSQL, or Synapse
• Experience with CI/CD (GitHub Actions, Terraform, CloudFormation)
• Solid foundation in SQL and data modeling
• Desirable: Experience with environment migrations (Azure → AWS); working with Feature Store and ML pipelines; knowledge of data governance (catalog, lineage, compliance).

Tech Stack

• Airflow
• Amazon Redshift
• AWS
• Azure
• ETL
• Postgres
• PySpark
• Python
• Spark
• SQL
• Terraform

Benefits

• Remote work
• Opportunities for professional growth and development