Principal Data 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!

• Drive technical direction for a significant product domain or platform capability, ensuring alignment with business objectives and customer needs 
• Design and maintain data pipelines that increasingly feed AI systems (e.g., RAG ingestion, embeddings, vector stores), not just dashboards and reports 
• Use AI-assisted engineering tools (e.g., Claude Code, Copilot, Cursor) as part of your own workflow, and help other engineers adopt them effectively 
• Reduce systemic complexity by identifying and leading architectural debt remediation, and develop strategies for ongoing technical debt management 
• Partner with Product and Engineering leadership to inform multi-quarter roadmap feasibility, and provide technical guidance and oversight to ensure successful implementation 
• Elevate engineering craft across multiple teams through RFCs, mentorship, and knowledge sharing, and develop training programs to improve engineering skills and knowledge 
• Represent Mitratech’s technical capabilities externally, including speaking at conferences, contributing to open-source projects, and engaging with industry peers and thought leaders 

 What We Are Looking For 

To be successful in this role, you will need: 

• 10+ years of experience in software engineering, with a focus on technical leadership and architecture 

• Deep understanding of data engineering principles, including data modeling, data warehousing, reporting, and data governance 

• Strong technical expertise in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, and analytics platforms 

• Comfort using AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a regular part of the engineering workflow 

• Practical experience with AI/LLM-adjacent data work — e.g., RAG ingestion pipelines, embedding generation, vector store management, or applying data quality and governance practices to data consumed by AI models 

• 5+ Years of experience on Ruby on Rails, React, and modern cloud platforms such as AWS 

• Experience leading cross-functional initiatives with product, engineering, analytics, and business teams 

Nice to Have 

• Experience with a semantic or metrics layer (e.g., dbt Semantic Layer, headless BI) 

• Experience with BI, reporting, dashboards, and customer-facing analytics 

• Understanding of CI/CD, Git-based workflows, and infrastructure-as-code 
   

The Stack Context 

• Modern data stack: Fivetran, Airbyte, dbt, Snowflake, GitHub, Terraform, or similar tools 

• Application context: Ruby on Rails, React, or similar backend/frontend frameworks 

• Data modeling: SQL, analytics models, documentation, testing, naming standards, and version control 

• Infrastructure: cloud-based data infrastructure, infrastructure-as-code, CI/CD, monitoring, and cloud storage 

• Data workflows: ingestion, transformation, orchestration, reporting, deployment, and change management 

• Reporting focus: trusted metrics, scalable reporting models, dashboards, exports, and data quality 

• AI surface: data pipelines and quality practices supporting AI/LLM use cases (RAG, embeddings, vector stores) alongside traditional BI 

Why This Role 

This role offers a unique opportunity to drive technical direction and innovation at a rapidly growing company, while also mentoring and coaching engineers to improve their craft. As a Principal Data Engineer at Mitratech, you will have the chance to work on complex and challenging problems, collaborate with cross-functional teams, and represent the company’s technical capabilities externally. If you’re looking for a role that offers a mix of technical leadership, innovation, and collaboration, this could be the perfect fit for you. 

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.