Senior Data Engineer (Snowflake) | Enterprise Data & Cloud Integration

Are you passionate about building modern, scalable data platforms that power enterprise decision-making? We’re partnering with a well-established financial services organization to hire an experienced Senior Data Engineer who thrives in designing cloud-based data solutions and enjoys solving complex integration challenges.

This is an opportunity to play a key role in transforming enterprise data architecture while working with modern cloud technologies in a collaborative, forward-thinking environment.

What You’ll Be Doing

As a Senior Data Engineer, you’ll design, build, and optimize enterprise data solutions that enable secure, reliable, and high-performing data across the organization. You’ll partner closely with architects, developers, and business stakeholders to create scalable pipelines and integrations that support critical business initiatives.

Key responsibilities include:

• Design and develop scalable data pipelines and ELT/ETL solutions using Snowflake.
• Build and maintain data transformations using dbt, Azure Data Factory (ADF), Azure Data Lake (ADL), or similar technologies.
• Integrate enterprise systems using technologies such as REST APIs, Kafka, MuleSoft, and cloud-based data platforms.
• Translate business and technical requirements into scalable data models and engineering solutions.
• Implement best practices around data quality, governance, security, and performance.
• Monitor and optimize data pipelines for reliability, scalability, and cost efficiency.
• Research and recommend emerging technologies that improve enterprise data capabilities.
• Collaborate with cross-functional teams to deliver high-impact data solutions.

What We’re Looking For

We’re seeking a hands-on engineer who enjoys building modern cloud data platforms while also thinking strategically about architecture and long-term scalability.

Qualifications include:

• 8+ years of experience in software or data engineering.
• Strong expertise with Snowflake, SQL, and dbt.
• Experience building enterprise data pipelines and ELT/ETL solutions.
• Experience with Azure technologies such as ADF and Azure Data Lake, or comparable cloud platforms.
• Experience integrating enterprise systems through APIs, Kafka, MuleSoft, or similar technologies.
• Strong understanding of data modeling, data governance, and performance optimization.
• Excellent communication and collaboration skills with both technical and business stakeholders.
• Bachelor’s degree in Computer Science, Information Systems, or a related field preferred.

Preferred Qualifications

• Snowflake certifications.
• Experience within the Financial Services or Life Insurance industry.

Why This Opportunity?

• Work on large-scale enterprise data initiatives.
• Modern cloud technologies and architecture.
• High-impact role with visibility across the organization.
• Collaborative team that values innovation and continuous improvement.
• Opportunity to influence technical direction while remaining hands-on.

If you’re looking for your next opportunity to build scalable cloud data solutions and make a meaningful impact within a stable, technology-focused organization, we’d love to hear from you.