Databricks Senior Consultant

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.
• A successful candidate would possess these skills:
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others
• The team

Requirements

• 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
• 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
• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
• Preferred:
• 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

Additional Information

Position Summary Our Deloitte AI & Engineering team works 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. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a Data Engineer III at Deloitte, you will lead the end-to-end design and deployment of enterprise solutions on the Databricks Platform. You will serve as a trusted advisor to our clients, using your deep, real-world project experience to architect solutions that encompass data engineering, data science, and business intelligence. This strategic role is focused on driving innovation and helping clients unlock the full potential of their data and AI investments.

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