Data Pipeline Architect

Job Summary :

Seeking an experienced Senior Data Engineer with over 9 years of industry experience to architect, build, and manage advanced data pipelines and platforms in a cloud environment. The ideal candidate will demonstrate hands-on expertise in ETL workflows, possess deep proficiency with Snowflake, and have a proven track record of implementing robust data governance and security practices.

Key Responsibilities :

• Architect, develop, and optimize scalable data pipelines for ingestion, processing, and storage of large data volumes from diverse sources.
• Design, implement, and maintain end-to-end ELT / ETL workflows for seamless data integration using orchestration tools.
• Manage data warehouse and data lake solutions, emphasizing Snowflake architecture, performance tuning, and cost optimization.
• Implement, monitor, and enforce best practices for data governance, including data cataloguing, lineage, stewardship, access control, audit, and compliance.
• Design and enforce rigorous data security policies and procedures for sensitive and regulated datasets, ensuring alignment with internal and external regulations.
• Ensure high data quality, integrity, and reliability by deploying validation, monitoring, and alerting frameworks.
• Collaborate with data science, analytics, DevOps, and business teams to fulfil analytics, BI, and operational data requirements.
• Drive process automation, workflow optimization, and continuous process improvement in data engineering operations.
• Mentor junior engineers, review code, and champion engineering excellence and compliance within the team.
• Keep up to date on the latest trends in cloud data platforms, governance, and security;

recommend and implementnew technologies as appropriate.

Required Skills & Qualifications :

Preferred Qualifications :