Drive the consolidation of fragmented, siloed data into a single, trusted source of truth that powers enterprise analytics and reporting.
Partner with teams across AI, BI, Product, Operations, and support to align on priorities and deliver integrated, dependable execution.
Design and implement the processes and tooling that give the firm clear data visibility and observability, turning raw data into actionable, trusted insight.
Strengthen data governance practices that safeguard data integrity, accessibility, and compliance with applicable regulations such as GDPR and CCPA.
Communicate technical concepts and progress clearly to both technical and non-technical stakeholders, keeping work aligned with broader data and technology goals.
Evaluate third-party tools, services, and vendors, recommending choices that fit the firm’s technical direction and budget.
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Hire, develop, coach, and supervise direct reports, and conduct annual performance reviews.
Education and/or Experience
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 3 years in a technical leadership or team management role
Advanced knowledge of big-data architecture and distributed processing, including tools such as Spark and Kafka and Lakehouse or Data Lake patterns
Advanced proficiency in SQL and Python, with strong command of ELT/ETL tooling (e.g., dbt) and workflow orchestration (e.g., Airflow)
Strong conceptual and logical data modeling skills, with the ability to set modeling standards and guide architect-level staff
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 building and scaling data platforms in a major cloud environment (AWS, Azure, or GCP) with a focus on scalability, security, and performance
Proven experience leading large-scale data migrations and consolidating disparate systems into a single source of truth for enterprise analytics
Preferred
Master's degree in Computer Science, Engineering, or MBA
Experience implementing and operating Databricks at scale
Familiarity with data cataloging and governance tooling (e.g., Unity Catalog, Collibra) and with data-observability platforms
Working knowledge of CI/CD and infrastructure-as-code (e.g., Terraform) for application and infrastructure deployment
Experience delivering the data infrastructure behind machine learning and AI workloads, such as feature pipelines and model-ready datasets
Experience working in an Agile delivery model
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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
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#LI-Hybrid
Applicants must be authorized to work in the United States without the need for employer sponsorship, now or in the future
The target salary range for this role is
$148,200 - $211,200 if located in Illinois.
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. 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 above satisfactorily and meet the requirements. The requirements listed above 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 sidleytalentacquisition@sidley.com (current employees should contact Human Resources).
Sidley Austin LLP is an Equal Opportunity Employer.
