FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAirflowAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead the enterprise data architecture and delivery capabilities that power analytics, reporting, and AI-driven initiatives across the organization
- Deliver scalable, secure, and high-quality data services
- Provide production-ready, governed, and scalable data pipelines and platforms
- Drive best practices for solution development within Technology Services
- Work with business leaders to assess corporate data management and identify improvement opportunities
- Implement improvements in data management processes and integrity
Requirements
What you’ll need- 10+ years of experience in data engineering, analytics, or software engineering
- 5+ years of leadership experience managing technical teams
- Bachelor’s degree from a four-year college or university required
- Experience delivering enterprise-scale data platforms in complex, multi-system environments
- Industry experience in construction, engineering, or project-based businesses strongly preferred
- Strong knowledge of modern data architectures (data lakehouse, warehouse, distributed processing)
- Experience with cloud data platforms (Azure, AWS, or GCP) and modern tooling ecosystems
- Experience with pipeline orchestration and transformation tools (e.g., ADF, Airflow, dbt)
- Familiarity with BI/analytics platforms (e.g., Power BI) and semantic modeling concepts
- Understanding of data requirements for AI/ML (feature pipelines, data quality, large-scale datasets)
Benefits
Comp & perks- Health insurance
- 401(k) plan
- Paid time off
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringanalyticssoftware engineeringdata architecturedata managementdata pipelinesdata integritydata lakehousedata warehousedistributed processing
Soft Skills
leadershipteam managementcommunicationproblem-solvingcollaboration
