Senior Data Engineer - Data Governance & Lakehouse

Jobtailor; Arizona; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor seeks a senior data governance and engineering leader to drive data risk management, governance, and data architecture across the organization. You will guide technical strategy and collaborate with stakeholders to scale data-driven workloads.

The role demands hands-on design and development, mentorship, and process improvements for data delivery, hiring, onboarding, and communication. Strong AWS/GCP, Spark, Python, and SQL skills are essential.

Qualifications

• Bachelor's degree required
• Excellent written and verbal communication
• Experience with AWS or GCP
• Spark, Python, and SQL expertise
• Hands-on leadership to drive execution
• Knowledge of data governance at scale
• US work eligibility; no visa sponsorship for these positions
• Experience building unified data-driven solutions with data-lakehouse architecture

Responsibilities

• Cultivate continuous improvement through technical guidance, coaching, mentoring, and feedback
• Lead technical strategy to scale data risk management and data governance best practices across the commercial ecosystem
• Improve trust and reliability of critical operational data-driven workloads
• Establish and maintain relationships with key stakeholders and cross-functional partners
• Perform hands-on architecture, design, development, and testing
• Implement process improvements for hiring, onboarding, software delivery, and internal/external communication
• Drive and execute high-level and detailed technical decisions

Skills

Excellent communication

Cross-functional leadership

Coaching & mentoring

Stakeholder relationship management

Hands-on leadership

Education

Bachelor's Degree

Tools

AWS

GCP

Apache Spark

Python

SQL

Job description

Jobtailor seeks a senior data governance and engineering leader to drive data risk management, governance, and data architecture across the organization. You will guide technical strategy and collaborate with stakeholders to scale data-driven workloads.

The role demands hands-on design and development, mentorship, and process improvements for data delivery, hiring, onboarding, and communication. Strong AWS/GCP, Spark, Python, and SQL skills are essential.