Lead Snowflake Engineer

2 days ago

Hyderabad, India Applore Technologies Full time

We are seeking a Lead Snowflake Engineer to join our client's dynamic Data Engineering team. This role will involve owning the architecture, implementation, and optimization of the Snowflake-based data warehouse solutions while mentoring a team of engineers and driving project success. The ideal candidate will bring deep technical expertise in Snowflake, hands-on experience with DBT (Data Build Tool), and a collaborative mindset for working across data, analytics, and business teams.

Key Responsibilities:

  • Design and implement scalable and efficient Snowflake data warehouse architectures and ELT pipelines.
  • Leverage DBT to build and manage data transformation workflows within Snowflake.
  • Lead data modeling efforts to support analytics and reporting needs across the organization.
  • Optimize Snowflake performance including query tuning, resource scaling, and storage usage.
  • Collaborate with business stakeholders and data analysts to gather requirements and deliver high-quality data solutions.
  • Manage and mentor a team of data engineers; provide technical guidance, code reviews, and career development support.
  • Establish and enforce best practices for data engineering, including version control, CI/CD, documentation, and data quality.
  • Ensure data solutions are secure, compliant, and aligned with privacy regulations (e.g., GDPR, CCPA).
  • Continuously evaluate emerging tools and technologies to enhance our data ecosystem.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 6+ years of experience in data engineering, including at least 2+ years of hands-on experience with Snowflake.
  • Strong experience with DBT for managing ELT transformations in a modern data stack.
  • Proficiency in SQL, Python, and experience working with large-scale data environments.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).
  • Demonstrated experience leading engineering teams and managing end-to-end project delivery.
  • Strong understanding of data architecture, warehousing concepts, and dimensional modeling.
  • Excellent problem-solving, communication, and collaboration skills.
  • Familiarity with data governance, security, and privacy standards.

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