Who we are looking for

You will be joining our team as a hands-on Snowflake Lead, responsible for designing, building, and maintaining scalable data solutions. This role requires strong expertise in Snowflake, data engineering, and cloud-based data platforms, along with a solid understanding of data governance, control environments, and regulatory requirements.

This role will play a critical role in developing and optimizing data pipelines, ensuring data quality and availability, and supporting business-critical reporting and analytics. You will work across multiple teams to enable efficient, reliable, and scalable data processing in a fast-paced environment. This role will also support the adoption of AI-driven capabilities within data platforms, helping improve data quality, automation, and efficiency across business-critical workflows.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data models using Snowflake
• Build and optimize workflows for data ingestion, transformation, and reporting
• Ensure high data quality, integrity, and consistency across data platforms
• Analyze and optimize Snowflake performance (query tuning, storage optimization, cost control)
• Break down complex data requirements into structured, implementable solutions
• Identify dependencies across upstream and downstream systems (e.g., source systems, reporting layers) and proactively manage them
• Troubleshoot data issues and implement durable fixes to prevent recurrence
• Develop and enhance data processes with a strong focus on automation, scalability, and reliability
• Define and track key metrics related to data pipelines, performance, and quality
• Ensure visibility into data flows, pipeline health, and processing outcomes
• Partner with business and technology teams to translate requirements into data solutions
• Clearly communicate risks, issues, and progress to stakeholders
• Support production releases, validate changes, and ensure stability of data platforms
• Ensure compliance with data governance, audit, and security requirements
• Support audit requests, controls validation, and remediation activities where needed

Skillset

• Strong expertise in Snowflake, including:
  • Data modeling (star/snowflake schemas)
  • Query optimization and performance tuning
  • Snowflake architecture and best practices
• Experience with:
  • SQL and advanced data transformation logic
  • Pipeline orchestration
  • Cloud platforms (Azure)
• Strong analytical and problem-solving skills
• Ability to handle large-scale data processing and troubleshoot complex data issues
• Experience working with structured and semi-structured data
• Strong communication skills – able to explain data issues and solutions clearly
• Ability to work across teams in a matrix environment
• Proactive ownership and accountability for deliverables
• Ability to prioritize work, manage multiple deliverables, and meet tight deadlines
• Strong attention to detail and focus on data accuracy and quality
• Continuous improvement mindset with focus on automation

Education & Preferred Qualifications

• 12+ years of experience in data engineering, data warehousing, or financial services technology
• Strong hands-on experience with Snowflake in a production environment
• Experience working in complex, cross-functional data ecosystems
• Familiarity with regulatory reporting, financial data platforms, or control environments
• Experience supporting production systems and handling high-priority data issues
• Ability to work in a fast-paced environment with evolving priorities

What success looks like in this role

• Reliable, scalable data pipelines with minimal production issues
• Clear ownership of data flows and dependencies across systems
• Improved data quality and transparency for business users
• Strong collaboration across teams with no delivery gaps
• Proactive identification and resolution of issues before they impact delivery