DataOps Engineer

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

About the Role

We're looking for a Senior Data Analytics Engineer to own and operate our Snowflake data platform. This role supports the data pipelines that feed Snowflake, which in turn power data and reporting presented directly to our customers within our products. The role is primarily focused on Snowflake platform administration and data engineering — account management, performance/cost optimization, data pipelines (dbt, Fivetran), and the overall health of the platform — with security, access governance, and cloud/DevOps responsibilities as a supporting part of the job.

You'll work closely with platform and product engineering teams and cloud operations to ensure the pipelines and Snowflake environment behind our customer-facing product data are scalable, performant, and reliable.

What You'll Do

Snowflake Platform & Data Engineering (primary focus)

• Administer and maintain multiple Snowflake accounts, including account-level configuration, org structure, and cross-account governance
• Own Snowflake performance and cost: warehouse sizing, resource monitors, query tuning, and storage optimization
• Manage Snowflake platform changes via infrastructure-as-code where applicable (e.g., Terraform, Snowflake CLI/SQL scripts) and change management processes
• Support and maintain Fivetran connectors for data ingestion from SaaS applications, databases, and APIs
• Support and lightly maintain dbt models (staging, intermediate, mart layers) that feed data into product-facing Snowflake datasets
• Troubleshoot pipeline and transformation issues, including those that intersect with platform-level access or performance, to protect the reliability of data presented to customers