Snowflake Architect

Overview

We are seeking an accomplished Senior Data Engineer for our client with 8+ years of hands-on expertise in data warehousing, ETL development, and cloud platforms. The ideal candidate will be highly proficient in Snowflake, ETL (Talent Enterprise/ Informatica Power Center), and Python, with a proven track record of designing high-performance, scalable data pipelines. This role requires

strong leadership in data engineering, a focus on optimizing ETL performance, and a passion for

leveraging cloud technologies and automation to transform data into actionable insights.

Key Responsibilities

- ETL and Data Warehousing: Develop, and maintain robust, scalable ETL pipelines and

data warehouse solutions using Snowflake, ETL (Talend Enterprise/ Informatica PowerCenter),

and Python.

- Cloud Data Engineering: Design and implement cloud-native data solutions, ensuring

performance, cost-efficiency, and scalability.

- Performance Optimization: Continuously monitor and optimize ETL processes and data

pipelines for maximum efficiency and reliability

- Agile & DevOps Implementation: Drive the adoption of Agile methodologies and DevOps

best practices to enhance team efficiency and accelerate delivery cycles.

- Automation & Innovation: Identify opportunities for automation throughout the data

lifecycle and implement innovative solutions to streamline operations.

- Stakeholder Collaboration: Work closely with business, analytics, and IT stakeholders to

understand data requirements and deliver solutions that drive business value.

Qualifications

- 8+ years of experience in data engineering, data warehousing, and ETL development.

- Advanced proficiency in Snowflake, ETL (Talend Enterprise/ Informatica PowerCenter), and

Python(Good to have).

- Strong background in designing and implementing scalable, high-performance data pipelines.

- Demonstrated experience in delivering complex projects.

- Solid grasp of Agile and DevOps principles with practical experience implementing these in

data engineering environments.

- Excellent communication and collaboration skills.

- Strong sense of ownership, accountability, and proven problem-solving abilities

Preferred Skills

- Experience driving team transformation and process improvement through automation and

cloud adoption.

- Ability to foster a culture of innovation, continuous learning, and excellence.

- Prior experience working in fast-paced, data-driven organizations.