Data Engineering Director - Chicago, Illinois, United States

10+ years of experience designing and delivering enterprise data platform solutions, including data pipelines, MDM implementations, service-layer integrations, and cloud data migrations.

10+ years of experience in a professional services, consulting, systems integration, or client-facing delivery environment.

Deep, hands-on technical expertise across the full data lifecycle, with specific platform depth in two or more of the following: Databricks, Azure Data Factory, Snowflake, Microsoft Fabric, and Azure Data Lake.

Strong command of enterprise MDM patterns, service-layer integration architecture, and operational data model design in complex, multi-system environments.

Demonstrated ability to operate with a system-level perspective across ingestion, orchestration, modeling, and consumption layers, with the judgment to identify where architectural decisions in one layer create risk or constraint in another.

Proven ability to drive technical sales conversations independently with CDOs, enterprise architects, and data platform owners, including diagnosing the real problem, framing a solution, and advancing the opportunity through to close.

Comfortable moving between technical depth and business language in the same conversation, adjusting altitude without losing credibility at either level.

Track record of delivering large-scale data platform programs end-to-end with the delivery experience to know what makes an architecture realistic versus aspirational.

Hands-on experience using AI-native tooling to accelerate data platform delivery work, including pipeline scaffolding, schema and model generation, integration documentation, or automated data quality validation.

Prior delivery experience in financial services, healthcare, or other regulated industries where data governance, auditability, and compliance constraints shape platform and integration decisions is desirable.

Familiarity with federated data governance models, data mesh architecture, or enterprise data product strategies as applied to large, multi-domain environments is also desirable.

An inspirational place for you to do your best work, be engaged in meaningful ways, and continually develop the skills, competencies and qualities that set our team apart.

Compensation commensurate with your qualifications, experience, and other factors, including geographic location, market and operational factors.

Total Rewards based on eligibility include: Medical, Dental, Vision, Life Insurance, Disability Insurance, 401(k) Savings Plan, Employee Stock Purchase Plan, Professional Development Program, Paid Time Off, Paid Holidays and Paid Sick Time (in geographies where legally required).