We are looking for an experienced and hands-on Manager – Snowflake Data Engineering to lead and expand our data engineering capabilities. This role is ideal for a technically strong leader who can design scalable data architectures, manage a high-performing team, and collaborate cross-functionally to deliver reliable and secure data solutions.
Responsibilities:
- Design and implement robust Snowflake data warehouse architectures and ETL pipelines to support business intelligence and advanced analytics use cases.
- Lead and mentor a team of data engineers, ensuring high-quality and timely delivery of projects.
- Collaborate closely with data analysts, data scientists, and business stakeholders to understand data needs and design effective data models.
- Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance optimization, and ETL processes.
- Own the optimization of Snowflake environments to ensure low-latency and high-availability data access.
- Drive process improvements, evaluate emerging tools, and continuously enhance our data engineering infrastructure.
- Ensure data pipelines are built with high levels of accuracy, completeness, and security, in compliance with data privacy regulations (GDPR, CCPA, etc.).
- Partner with cloud engineering and DevOps teams to integrate data solutions seamlessly within the AWS ecosystem.
- Participate in capacity planning, budgeting, and resource allocation for the data engineering function.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 9+ years of overall experience in cloud-based data engineering, with at least 4 years of hands-on experience in Snowflake.
- Proven track record in designing, deploying, and managing Snowflake data platforms at scale.
- Expertise in AWS services such as S3, Redshift, Lambda, Glue, etc.
- Strong command of SQL, Python, and other data manipulation languages.
- Experience managing and mentoring a team of engineers and leading cross-functional initiatives.
- Strong understanding of data governance, data security, and compliance frameworks (e.g., GDPR, CCPA).
- Excellent problem-solving and communication skills.
Additional Information
- Master’s degree in Computer Science or a related discipline.
- Snowflake certification(s).
- Experience with additional cloud data warehouses (e.g., AWS Redshift, Google BigQuery).
- Familiarity with Agile methodologies and modern development practices (CI/CD, Git, Jira, etc.).
Job Type: Full-time
Schedule:
- Day shift
Experience:
- Overall: 9 years (Required)
- Snowflake: 4 years (Required)
Work Location: In person
Speak with the employer
+91 9959381537