Reporting to the Director of Data Platform and Engineering, the Data Engineering Senior Manager plays a key role in executing the firm’s data strategy by overseeing the architecture, implementation, and optimization of scalable data platforms. This role supports the delivery of high-quality, secure, and high-performing data solutions that enable data-driven decision-making across the firm. The Senior Manager collaborates closely with cross-functional teams to drive operational efficiency and maximize customer value, while also ensuring adherence to data privacy and governance standards.

• Support the execution of the firm’s data strategy by contributing to initiatives that uphold high standards of data quality, security, and performance in alignment with organizational objectives.
• Manage the implementation and enhancement of scalable data architectures that support analytics, machine learning, and AI capabilities under the guidance of the Director
• Lead the development and continuous evolution of scalable, robust, and business-aligned data platforms & pipelines, driving the adoption of modern tools and technologies, including cloud-native services, distributed computing, and real-time data processing.
• Collaborate with cross-functional partners—including AI, BI, Product, Operations, and support teams—to align on project-level priorities and ensure integrated execution across teams.
• Design and implement robust processes and tooling to ensure comprehensive data visibility, enable actionable insights, and drive data-centric awareness across the organization.
• Contribute to the maintenance and improvement of data governance practices, helping to ensure data integrity, accessibility, and compliance with regulations such as GDPR.
• Translate technical concepts and progress updates into clear communications for internal stakeholders, supporting alignment with broader data and technology goal
• Assist in vendor assessments and contribute to the evaluation of third-party tools and services to ensure alignment with technical and budgetary goals.
• Hires, develops, coaches, and supervises direct reports. Conducts annual performance reviews. 

Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. If an estimated salary range for this role is available, it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Sidley.com/Benefits.

To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email staffrecruiting@sidley.com (current employees should contact Human Resources). 

Education and/or Experience:

Required:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
• A minimum of 7 years of experience in data engineering
• A minimum of 3 years in a leadership
• Advanced knowledge of big data architecture, including tools such as Spark, Kafka, and architectures like Data Lake or Lakehouse
• Advanced knowledge of SQL, ETL tooling, and data modeling
• Skilled at crafting compelling data narratives through tables, reports, dashboards, and other visualization tools
• 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 MBA
• Experience implementing and operating Databricks at scale
• Working knowledge of CI/CD pipelines for App and Infrastructure code
• Experience working in an Agile delivery model

Other Skills and Abilities:

The following will also be required of the successful candidate:

• Strong organizational skills
• Strong attention to detail
• Good judgment
• Strong interpersonal communication skills
• Strong analytical and problem-solving skills
• Able to work harmoniously and effectively with others
• Able to preserve confidentiality and exercise discretion
• Able to work under pressure
• Able to manage multiple projects with competing deadlines and priorities

Sidley Austin LLP is an Equal Opportunity Employer

#LI-Hybrid

#LI-OE1