The right person can lead a team of Data Engineers and still do the work themselves — technical design, code reviews, incident management, platform modernization, and engineering standards. They'll also drive AI-assisted development, automation, and cloud cost optimization to keep the team productive and the platform scalable.
Key Responsibilities
Leadership & Delivery
Lead, mentor, and grow a team of Data Engineers across multiple domains.
Run sprint planning, backlog prioritization, and delivery.
Balance strategic work, operational support, and technical debt.
Partner with business, analytics, and technology leaders to align priorities.
Data Platform & Engineering
Own the architecture and delivery of scalable data pipelines, semantic models, and data products.
Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud Composer, BigQuery, Terraform, and CI/CD.
Lead design reviews, evaluate new technologies, and drive platform modernization.
AI & Engineering Excellence
Lead AI-assisted development (Claude AI/Gemini Enterprise) across code reviews, documentation, testing, and automation.
Set standards and governance for responsible use of AI-generated code.
Reliability, Operations & Cloud
Own data platform reliability, monitoring, incident response, and root cause analysis.
Establish SLAs, operational metrics, and on-call processes.
Ensure compliance with data governance, security, privacy, and access management.
Optimize performance, scalability, and cost across GCP, including BigQuery consumption, storage, and slot utilization.
Qualifications
Required Experience
Bachelor’s degree in computer science, Engineering, Information Systems, or related field. GCP Professional Data Engineer Certification a plus.
7+ years of Data Engineering experience with modern cloud data platforms.
3+ years of leadership experience managing Data Engineering teams.
Technical Skills
Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer.
Hands-on experience with Google Cloud Platform, including BigQuery, GCS, Pub/Sub, Dataflow, Cloud Functions, and Vertex AI.
Experience with Infrastructure as Code (Terraform) and CI/CD automation.
Strong understanding of data warehousing, semantic modeling, data quality, and governance across batch, streaming, and event-driven architectures.
Leadership Competencies
Strong communication and stakeholder management skills.
Ability to translate business requirements into scalable technical solutions.
Experience leading cross-functional initiatives and influencing technical direction.
Track record of building strong teams and a solid engineering culture.
This role is onsite 4 days/week in our Chicago office (Fulton Market District)
Annual Salary Range: $160,000-$190,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
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