Director, Data Engineering

Litera • Colorado, USA • $185k - $205k / year • 1m ago

Job Description

Join the Legal Tech Revolution at Litera

Are you ready to shape the future of how law is practiced? At Litera, we’re on a mission to Raise The Bar™️ for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. We’ve been a leader in legal tech innovation for 30 years and are leading the legal AI revolution to this day with most of the world’s largest law firms as our clients. If you’re passionate about building AI-forward solutions that scale globally and want your work to impact millions of legal professionals worldwide, this is your opportunity to be part of an extraordinary team that’s elevating the craft of law.

As part of our strategic growth and commitment to fostering collaboration and operational excellence, we are transitioning to a hybrid working model. This position is based in Denver and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week. This hybrid approach enables us to build a collaborative and innovative work environment while maintaining the flexibility that supports both productivity and work-life balance. We are actively seeking talented individuals to join our team in this exciting new phase of growth.

Overview: As a Director, Data Engineering at Litera, you will be part of a dynamic team that is passionate about driving innovation in the legal technology space. You will have the opportunity to work with cutting-edge tools and collaborate with industry experts to deliver solutions that make a real difference in the legal profession.

Key Responsibilities:

Develop and execute a strategic vision for data engineering that aligns with the company's goals and objectives, focusing on scalability, reliability, and performance within Litera’s EDW.

Lead and mentor a team of data engineers, providing guidance on best practices, code reviews, and professional development.

Design, build, and optimize data pipelines, architectures, and data sets in Azure to support data transformation, data structures, metadata, dependency, and workload management.

Collaborate with cross-functional teams, including data science, analytics, and business stakeholders to understand data needs and deliver solutions that enable data-driven decision-making.

Implement and maintain robust security measures, ensuring compliance with data governance and privacy policies.

Stay current with industry trends and developments in Azure services, Power BI, and related data technologies to drive innovation and continuous improvement.

Manage the deployment of machine learning models in collaboration with data scientists, ensuring seamless integration with existing data pipelines and architectures.

Ensure high data quality and integrity by implementing quality control measures and monitoring performance.

Drive the adoption of advanced analytics and business intelligence tools within the organization, leveraging Power BI to create insightful dashboards and reports.

Oversee the budget for data engineering projects, including resource allocation and cost optimization.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

10+ years of experience in data engineering with a proven track record of leading teams and delivering complex data projects.

Deep understanding of Azure cloud services, including Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse/Synapse Analytics, and Azure Databricks.

Expertise in Power BI and other BI tools, with experience in dashboard and report development.

Strong experience with SQL, Python, Spark, and other data engineering technologies.

Familiarity with data modeling, ETL/ELT processes, and data warehousing principles.

Excellent leadership skills with the ability to inspire and motivate a remote team.

Strong communication and collaboration skills to effectively interact with various stakeholders.

Experience with machine learning model deployment and MLOps is a plus.

Familiarity with data governance, compliance, and security standards.

Why Join Litera?

The company culture: We emphasize helping each other grow, doing the right thing always, and being part of a journey to amplify impact, creating an exciting and fulfilling work environment

Commitment to Employees: Our people commitment is based on what employees love most about being part of the team, focusing on tools that matter to the difference-makers in the legal world and amplifying their impact

Global, Dynamic, and Diverse Team: Our is a global company with ambitious goals and unlimited opportunities, offering a dynamic and diverse work environment where employees can grow, listen, empathize, and problem-solve together

Comprehensive Benefits Package: Experience peace of mind with our health insurance, retirement savings plans, generous paid time off, and a supportive work-life balance. We invest in your well-being and future, ensuring a rewarding career journey.

Career Growth and Development: We provide career paths and opportunities for professional development, allowing employees to progress through various technical and leadership roles

Colorado Residents: The salary range is $185,000 to $205,000. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Litera offers benefits such as a comprehensive benefits package, incentive and recognition programs, and 401k contribution (all benefits are subject to eligibility requirements).

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.