Snowflake Tech Lead

About Us:

Innover is an award-winning AI-first engineering firm, transforming businesses through Experience Engineering, Digital Engineering, and Process Engineering. Our interconnected competencies seamlessly deliver comprehensive industry solutionsExperience Engineering shapes visionary strategies, Digital Engineering brings them to life, and Process Engineering ensures flawless execution. With deep technical expertise and business acumen, weve empowered over 65 Fortune 1000 companies to accelerate growth and transformation.

Leading analysts consistently recognize our capabilities across Data and Analytics, Artificial Intelligence, and Intelligent Process Automation, solidifying our position as a trusted partner in driving innovation and success.

Headquartered in Alpharetta, Georgia, Innover operates global delivery centers in India, Mexico and an advanced Center of Excellence dedicated to driving innovation and measurable impact. Our industry footprint spans Digital Supply Chains, Manufacturing and Logistics, Telecom, Technology and Media, Consumer and Retail, Energy and Utilities, Banking and Financial Services, Tax Technology, and more.

Weve earned prestigious accolades, including the Supply Chain Brain Award and the Top Supply Chain Project Award for four consecutive years, the Top Software and Tech Award, and recognition for Digital Transformation Excellence. Our vibrant culture of growth and camaraderie has been celebrated with the Best Workplace Award and the Happiest Workplace Award, reinforcing our commitment to fostering excellence both within and beyond our organization.

Snowflake Tech Lead

Experience: 8+ Years

Key Responsibilities:

• Lead the design and implementation of scalable, secure, and high-performance Snowflake architectures.
• Drive the implementation of medallion architecture (Bronze, Silver, Gold layers) and enterprise data modeling standards.
• Design and implement transformation frameworks using dbt (data build tool) for modular, testable, and version-controlled data models.
• Design and standardize automated onboarding and environment provisioning frameworks for rapid, repeatable deployments.
• Provide technical leadership to data engineering teams building ELT/ETL pipelines and data transformation workflows.
• Design, implement, and govern CI/CD pipelines for Snowflake objects, data pipelines, and IaC deployments.
• Establish best practices for performance tuning, cost optimization, clustering strategies, workload management, and resource governance.
• Conduct code reviews, and enforce development standards across teams.
• Mentor engineers and act as the primary technical escalation point for Snowflake-related initiatives.
• Collaborate with cross-functional stakeholders including Data Architects, DevOps, Cloud, and Security teams.

Required Qualifications:

• Snowflake extensive hands-on implementation experience.
• 8+ years of experience in data engineering and enterprise data warehousing.
• Proven experience leading automated, scalable onboarding and provisioning frameworks.
• Deep experience implementing CI/CD pipelines using Git, Jenkins, GitLab, Azure DevOps, or similar tools.
• Advanced SQL expertise and strong programming skills in Python or similar scripting languages.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Demonstrated experience leading technical teams and driving architectural decisions.

Preferred Qualifications:

• Snowflake certification
• Familiarity with DevOps and DataOps best practices.
• Experience with enterprise-scale migrations to Snowflake.
• Exposure to multi-account Snowflake strategy and cross-region data sharing.
• Strong stakeholder communication and solution design documentation skills.