Kiewit Data Services (KDS) is building the Kiewit Intelligence Platform (KIP) to enable Kiewit to scale revenue to $25B+ without linearly scaling headcount. This role is to lead and scale the data engineering organization to support enterprise-scale AI, analytics, and operational automation.
Requirements
- Deep expertise in Azure cloud services (Azure Data Lake, AKS, Functions, SQL Database, Data Factory, etc.) with Infrastructure-as-Code (Terraform/Pulumi)
- Advanced proficiency in Python, SQL, and BASH scripting
- Production experience with Kubernetes, Docker, and containerized application deployment
- Strong background in distributed systems, data pipeline architecture, and ETL/ELT patterns
- Experience with relational databases (PostgreSQL, MySQL, Oracle, Snowflake) and NoSQL systems (MongoDB, Redis)
- Proven ability to design, build, and operate large-scale data processing systems (TB+ daily volumes)
- Excellence in Git, CI/CD, and DevOps practices (Jenkins, GitLab CI, Azure DevOps)
Responsibilities
- Lead and grow a team of 10-15 data engineers and platform data architects
- Design and implement large-scale distributed data processing systems on Azure cloud platform
- Drive the technical roadmap for data ingestion, orchestration, and lakehouse architecture
- Build enterprise data pipelines processing 100B+ records across SAP, InEight, Primavera, and custom systems
- Implement open-source orchestration platforms (Dagster/Airflow) and lakehouse architecture (Iceberg tables)
- Deploy Model Context Protocol (MCP) servers enabling secure AI agent access to enterprise data
- Scale infrastructure supporting 20,000+ predictive algorithms and real-time analytics
Other
- Lead and grow a team of 10-15 data engineers and platform data architects
- Partner with executive leadership and senior data scientists to align platform capabilities with business objectives
- Establish engineering standards, best practices, and DevOps culture across the organization
- Mentor and develop engineering talent while maintaining a culture of technical excellence
- Excellent communication skills — able to influence executive stakeholders and mentor junior engineers
