Senior Databricks Consultant

Senior Databricks Consultant role focused on designing and deploying enterprise solutions on the Databricks Platform, encompassing data engineering, data science, and business intelligence. The role involves architecting and implementing advanced solutions from data pipelines to AI/ML models, advising clients on data strategy, and mentoring junior team members. Experience with Databricks suite, cloud ecosystems, and MLOps principles is required.

What you'd actually do

  1. 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.
  2. 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.
  3. Full-Spectrum Implementation: Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
  4. 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.
  5. Project Leadership: Lead technical discussions with business and functional analysts to translate complex requirements into comprehensive solution designs based on proven project success.

Skills

Required

  • Databricks Platform
  • data engineering
  • data science
  • business intelligence
  • large-scale data pipelines
  • AI/ML models
  • MLOps principles
  • cloud ecosystems (AWS, Azure, GCP)
  • Databricks Platform administration

Nice to have

  • Databricks certifications
  • Public sector experience
  • Active public sector clearance

What the JD emphasized

  • end-to-end design and deployment of enterprise solutions on the Databricks Platform
  • production-ready AI/ML models
  • holistic data strategy
  • MLOps principles
  • scalable machine learning applications
  • data and AI lifecycle

Other signals

  • end-to-end design and deployment of enterprise solutions on the Databricks Platform
  • architect solutions that encompass data engineering, data science, and business intelligence
  • driving innovation and helping clients unlock the full potential of their data and AI investments
  • architecture and implementation of advanced solutions on Databricks, covering everything from large-scale data pipelines to production-ready AI/ML models
  • MLOps principles