Description

You will design and implement the end-to-end data strategy and architecture to support the organization's data pipeline and ecosystems.

Responsibilities

• Develop blueprints for data framework architecture, including principles and standards for engineers and developers.
• Manage the full data architecture lifecycle, from platform selection and technical design to testing and implementation.
• Plan and execute Big Data solutions using GCP, Hadoop, Hive, and Airflow.
• Design and implement enterprise data lakes and data warehouse structures.
• Establish patterns for data engineers to optimize data ecosystems and improve information dissemination.
• Audit data management system performance and report non-compliance or gaps to stakeholders.

Required Skills

• 6+ years of experience in data-related roles, including at least 2 years as a Data Architect.
• Advanced knowledge of data warehouse design and enterprise data lake implementation.
• Extensive experience with Snowflake, Kafka, AWS, Azure, and GCP.
• Proficiency in Cloud Data Architecture and managing large-scale relational and non-relational databases.
• Hands-on experience with ETL processes and data acceleration technologies.
• Experience using Airflow and BigQuery for data flow and extraction.
• Practical knowledge of scalable, distributed, and reliable software.
• Experience working within agile frameworks.
• English proficiency at a B1–B2 level.

Preferred Skills

• Degree in Computer Science, Information Systems, Data Science, Mathematics, or Statistics.

Key Skills

Education

Any Graduate