Jobs · Consulting · California

Databricks Senior Consultant

Deloitte · Greater Sacramento · Yesterday
HybridConsulting$125k–$208k/yrFull-time

Key Responsibilities

  • Architect and Deliver Solutions: Lead the architecture and implementation of advanced solutions on Databricks, covering everything from large-scale data pipelines to production-ready AI/ML models.
  • Client Advisory and Strategy: Advise senior stakeholders on a holistic data strategy, including best practices for data engineering, MLOps, BI, and data governance on the Databricks platform.
  • Full-Spectrum Implementation: Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
  • Team Mentorship: Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle and ensuring high-quality, real-world-ready deliverables.
  • Project Leadership: Lead technical discussions with business and functional analysts to translate complex requirements into comprehensive solution designs based on proven project success.

Qualifications

  • 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.
  • Must be able to obtain and maintain a US government security clearance.
  • 5+ years of real-world experience in a client-facing role, advising on and implementing end-to-end solutions on the Databricks platform.
  • 2+ years of project experience with the full Databricks suite, including the latest Databricks features for data engineering, data science, and analytics including Lakeflow Connect, Agent Bricks, and Databricks Apps.
  • 2+ years of experience in cloud ecosystems (AWS, Azure, GCP) and MLOps principles including Databricks Platform administration on a cloud provider.
  • Strong leadership, communication, and stakeholder management skills.
  • Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred.
  • Public sector experience preferred.
  • Active public sector security clearance preferred.

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