Requisition ID: 181254
Job Level: Mid Level
Home District/Group: DHO Information Technology Group
Department: Technology Group
Market: Corporate Home Office
Employment Type: Full Time
Position OverviewWe are seeking a Principal Data Platform Architect to own the end-to-end technical vision for Kiewit's enterprise data platform. This is a senior individual contributor role spanning cloud infrastructure, data warehousing and analytics, ML/AI and citizen development enablement. This is an opportunity to shape all layers of a modern data stack enabling smarter decisions across estimating, scheduling, procurement, project controls, safety, and equipment management. You will be responsible for setting architecture standards, guiding technology decisions, and partnering with data engineering, data science, citizen developers, data governance and business leadership across estimating, operations, finance, procurement, and other critical business domains.
LocationThis is a full time in office role located on our LaVista, NE campus. We are not offering relocation for this role.
Responsibilities• Platform Architecture: Define and own the enterprise data platform architecture across cloud infrastructure, ingestion, storage, transformation, warehousing, and ML/AI/CitDev enablement layers.
• Cloud Infrastructure: Design scalable cloud-native infrastructure on Azure, AWS, or GCP, including managed compute, networking, storage, and orchestration to support diverse data workloads from batch ETL to real-time streaming.
• Data Warehousing & Analytics: Architect the enterprise data warehouse and lakehouse strategy, establishing standards for data modeling, semantic layers, and analytics delivery across business domains.
• ML/AI Platform Enablement: Build the technical foundation for ML/AI workloads: feature stores, ML pipelines, model serving infrastructure, and data contracts that bridge data engineering and data science.
• Agentic AI Frameworks: Define standards for how AI agents interact with Kiewit's data assets, establishing guardrails around data access, auditability, and output validation in agentic workflows.
• Citizen Development: Define guardrails, templates, and platform standards that empower citizen developers while maintaining data quality, security, and consistency across the enterprise.
• Governance & Quality: Establish platform governance including data quality frameworks, lineage tracking, metadata management, access controls, and compliance with enterprise security standards.
• Technology Strategy: Evaluate and guide adoption of modern data platform technologies (e.g., Databricks, Snowflake, dbt, Apache Iceberg, Kafka, Dagster,etc.) aligned to construction-industry needs.
• Technical Leadership: Provide architectural mentorship to senior and mid-level data engineers; influence cross-functional teams and shape engineering culture across the data organization.
• Stakeholder Partnership: Partner with project technology leads and business stakeholders to translate operational challenges into platform capabilities and communicate architectural decisions clearly to executive audiences.
Qualifications• 10+ years in data engineering, data architecture, or data platform roles with increasing scope and seniority
• Demonstrated experience designing and owning large-scale data platforms spanning infrastructure, warehousing, and analytics
• Deep expertise in at least one major cloud provider (Azure, AWS, or GCP) including data-specific services
• Hands-on proficiency with modern lakehouse and warehouse technologies (e.g., Snowflake, Databricks, Delta Lake, Apache Iceberg)
• Strong proficiency in Python and/or Scala; experience with Spark or distributed compute frameworks
• Experience with data pipeline orchestration tools such as Airflow, Dagster, or Prefect
• Track record of leading architecture decisions and influencing engineering direction across multiple teams
• Excellent written and verbal communication skills; able to translate complex technical concepts for non-technical stakeholders
Preferred• Familiarity with real-time data ingestion and streaming patterns (Simplement Roundhouse, SNP Glue, Kafka, or Azure Event Hubs)
• Background in data mesh or data product thinking; experience enabling self-service or citizens development data infrastructure
• Exposure to construction, engineering, or capital-project data environments, ERP systems, project controls, field operations data
• Relevant cloud or data certifications (AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, dbt Analytics Engineer)
Other Requirements:
- Regular, reliable attendance
- Work productively and meet deadlines timely
- Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
- Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
- Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
- May work at various different locations and conditions may vary.
We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.
