Description

You will design and lead end-to-end architecture for data platforms, pipelines, and analytics solutions.

Responsibilities

• Design scalable, secure, and reliable data architectures based on business requirements.
• Define standards for data modeling, integration, and governance.
• Architect and optimize data lakes, data warehouses, and real-time streaming platforms.
• Collaborate with engineering and infrastructure teams to implement architectures in cloud and hybrid environments.
• Develop technical documentation including data flows, architecture diagrams, and metadata standards.
• Provide technical leadership and mentorship to engineering teams and stakeholders.

Required Skills

• 7+ years of experience in data engineering, data architecture, or solution architecture.
• Proven experience designing and building enterprise-scale data solutions.
• Expertise in cloud platforms including AWS (Redshift) and Azure (Synapse).
• Strong proficiency in Python, Java, or Scala.
• Deep knowledge of relational and non-relational databases including SQL Server, PostgreSQL, and MongoDB.
• Experience with data pipeline and ETL tools such as Apache Airflow, Informatica, Talend, or dbt.
• Familiarity with data warehousing, data lakes, data mesh, and data fabric concepts.
• Knowledge of data governance, metadata management, data lineage, and master data management (MDM).
• Understanding of security frameworks and compliance standards like SOC 2, GDPR, and CCPA.

Preferred Skills

• Bachelor's or Master’s degree in Computer Science, Data Engineering, or Information Systems.

Key Skills

Education

Any Graduate