Lead Data Engineer

Job summary

Our Del*** AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses.

Qualifications

• Required:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• 7+ years of experience leading complex, large-scale data engineering, data governance, or artificial intelligence initiatives
• 3+ years of experience configuring Unity Catalog role-based access control (RBAC) using Microsoft Entra ID groups and Icertis User Provisioning with System for Cross-domain Identity Management (SCIM)
• 1+ years of experience registering data assets in Collibra Data Catalog and applying personally identifiable information (PII) and protected health information (PHI) classification tags
• 1+ years of experience aligning data access controls to an established attribute-based access control (ABAC) masking pattern and developing solutions using Python
• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
• Preferred:
• Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
• Professional Databricks certifications are preferred.
• Public sector experience preferred

Responsibilities

• You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses.
• Work You'll Do
• Lead complex data and artificial intelligence programs across the Databricks platform, serving as a subject matter advisor to delivery teams.
• Build and maintain client relationships while advising stakeholders on enterprise data and artificial intelligence strategy.
• Lead, coach, and develop cross-functional teams of data engineers, data scientists, and architects across client engagements.
• Design data-driven architectures that integrate data engineering, business intelligence, and artificial intelligence and machine learning capabilities.
• Provide delivery oversight, define success criteria, and guide teams on data governance, security, and machine learning operations practices.
• The Team
• Del***'s Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact.
• Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services.
• Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Skills

Degrees

Travel

Industry

Company size