Deloitte

Deloitte

Lead Data Engineer

Arlington, Virginia

No sponsorship$145k-$241kDetected 3 days ago
PythonDatabricksMachine LearningData EngineeringStakeholder ManagementUnityHIPAACommunication

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odds of building a lasting career here

37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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About the role

  • You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses.
  • Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
  • Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Responsibilities

  • 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.
  • Deloitte'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 Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success.

Requirements

  • 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 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
  • experience and training

Nice to have

  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Professional Databricks certifications are preferred.
  • Public sector experience preferred
  • Active public sector clearance preferred

Compensation

  • You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Benefits

  • 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.
  • 1+ years of experience registering data assets in Collibra Data Catalog and applying personally identifiable information (PII) and protected health information (PHI) classification tags

Company info

  • Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Visa & Work Authorization

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

This listing is sourced directly from Deloitte's careers page and normalized into a canonical job model.