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!

About Engineering at Mitratech Legal Solutions

Mitratech's engineering organization is a collaborative and dynamic environment where engineers are empowered to drive technical direction and innovation. Our engineers are passionate about delivering high-quality products and solutions that meet the evolving needs of our customers, and we're committed to fostering a culture of continuous learning and growth.

About the Role

Mitratech is a fast-paced and dynamic environment, and this role requires someone who is adaptable, resilient, and able to thrive in a rapidly changing landscape. If you’re a seasoned engineer with a passion for technical leadership, innovation, and collaboration — including building the data foundations that power both reporting and AI-driven products — we’d love to hear from you.

What You Will Do

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

2+ 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.