Job Title: Data Platform & Engineering Director
Job Responsibilities:
- Formulate and implement a data strategy aligning with the law firm's goals and product roadmap, ensuring top-tier data quality, security, and performance.
- Oversee the design and development of scalable data architectures that facilitate advanced analytics, machine learning, and AI capabilities.
- Ensure data integrity, accessibility, and security by adhering to best practices in data governance and compliance, including data privacy regulations like GDPR.
- Lead the continuous evolution of scalable, robust, and business-aligned data platforms, promoting the adoption of modern tools and technologies such as cloud-native services, distributed computing, and real-time data processing.
- Forge strong partnerships with cross-functional teams, including AI, product management, operations, customer care, platform, and architecture teams, to create integrated roadmaps and align on strategic vision.
- Communicate complex data concepts and strategies effectively to executive leadership and stakeholders, ensuring alignment with the law firm's broader vision and goals.
- Stay informed of industry trends and emerging technologies, translating them into actionable initiatives to drive innovation and maintain the law firm's market leadership.
- Establish strong partnerships with technology vendors, negotiate technical contracts, and manage the financial aspects of data engineering initiatives to ensure cost-effective solutions.
- Implement firm-wide data quality frameworks to ensure high-quality data across all data engineering pipelines and data warehousing models.
- Build and optimize the organizational structure of the global data engineering practice, aligning it with core business functions and global growth objectives.
- Hire, develop, coach, and supervise direct reports and conduct annual performance reviews.
Education and Experience Information:
Required:
- Bachelor's degree in computer science, engineering, data science, or a related field.
- A minimum of 10 years of experience in data engineering.
- A minimum of 5 years in a leadership role.
- In-depth knowledge of AI, machine learning, and big data architecture, including tools such as Spark, Kafka, and architectures like Data Lake or Lakehouse.
- Demonstrated leadership abilities in building, mentoring, and scaling high-performing, cross-functional data engineering teams in a dynamic environment.
- Proven experience in building and scaling data platforms in a cloud environment such as AWS, Azure, or GCP, with a focus on scalability, security, and performance.
Preferred:
- Master's degree in computer science, engineering, or a related field.
Other Skills and Abilities:
- Strong organizational skills.
- Strong attention to detail.
- Good judgment.
- Strong interpersonal communication skills.
- Strong analytical and problem-solving skills.
- Ability to work harmoniously and effectively with others.
- Ability to preserve confidentiality and exercise discretion.
- Ability to work under pressure.
- Ability to manage multiple projects with competing deadlines and priorities.
Salary Information:
Salaries for this position vary based on location and numerous factors, including market conditions, skills, experience, and education of the selected candidate. The estimated salary range for this role, if located in Illinois, is $250,000 - $300,000. The compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found on the law firm's website.
