Director, Data Engineering

Litera

68d • $185,000 - $205,000

About The Position

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.

Requirements

• 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.

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.

Benefits

• Comprehensive benefits package including health insurance and retirement savings plans.
• Generous paid time off.
• Supportive work-life balance.
• Career paths and opportunities for professional development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees