Databricks Forward Deployed Engineer (AI/ML)

Posted 2 Days Ago
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6 Locations
Remote
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Lead enterprise delivery of Databricks-based data, analytics, and Generative AI solutions. Design production data pipelines, lakehouse architectures, RAG applications, ML platforms, and cloud-native systems. Drive legacy data migrations to Databricks, advise executive client stakeholders, identify platform expansion opportunities, and mentor engineering and consulting teams. The role combines hands-on engineering, solution architecture, customer engagement, and technical practice development.
Summary Generated by Built In

Engagement Type: Independent Contractor (1099)

Primary Point of Contact: Product Manager and Practice Leader

Location: Remote (LATAM Based)

At RevStar, we build cutting-edge cloud, data, and Generative AI solutions that transform how enterprise organizations operate. As a strategic partner in the AWS and Databricks ecosystems, we don’t just deliver code—we solve complex business problems, modernize legacy data estates, and deploy production-grade AI applications that drive real business value.

Role Overview

We are seeking a Senior Databricks Forward Deployed Engineer (FDE) to join our growing Data & AI Practice. In this highly visible role, you will work embedded directly at the intersection of technical architecture, hands-on engineering, and executive client engagement.

As an FDE, you are both a master builder and a trusted technical advisor. You will own the full delivery lifecycle for high-impact enterprise accounts—designing scalable data foundations, implementing cutting-edge Generative AI solutions, and migrating complex workloads onto the Databricks Lakehouse platform. Simultaneously, you will drive customer adoption and consumption growth by identifying new use cases and building strategic alignment with client technical leadership.

Key Responsibilities
  • Hands-on Solution Architecture & Engineering: Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using the Databricks platform, Spark, Python/PySpark, and modern cloud ecosystems (AWS/Azure/GCP).
  • Enterprise Customer Delivery: Serve as the primary technical leader on strategic enterprise client engagements. Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into high-performing technical solutions.
  • Databricks Migration & Estate Modernization: Lead complex legacy platform migrations (e.g., Snowflake, Teradata, legacy Hadoop, SQL Server) onto the Databricks Lakehouse architecture.
  • GenAI & Advanced Analytics Implementation: Guide enterprise customers (Healthcare, Retail, Financial Services, etc.) in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations.
  • Drive Platform Adoption & Growth: Partner with account leadership to identify new, high-value technical use cases across client business units, expanding Databricks platform usage and driving measurable ROI for clients.
  • Technical Mentorship & Practice Building: Mentor and coach junior Solution Engineers, Architects, and Consultants. Contribute to internal RevStar code libraries, reusable accelerators, and technical delivery best practices.

RequirementsTechnical Expertise:
  • 5+ years of hands-on experience in Data Engineering, Machine Learning, or Solutions Architecture.
  • 3+ years of deep technical experience within the Databricks Ecosystem (Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows/Jobs, Mosaic AI).
  • Generative AI / ML: Practical experience designing and deploying RAG pipelines, fine-tuning LLMs, working with vector databases, and managing ML pipelines end-to-end.
  • Cloud Architecture: Strong expertise in cloud-native architectures (AWS preferred—S3, Glue, Lambda, Redshift, etc.).
  • Data Migration: Proven track record of migrating enterprise legacy data warehouses/lakes onto Databricks.
  • Databricks Certifications: Databricks Certified Data Engineer Professional and/or Machine Learning Professional preferred.
Client & Business Acumen:
  • Enterprise Experience: Demonstrated track record of leading technical delivery for Fortune 500 or large enterprise clients (Healthcare, Retail, Consumer Goods experience is a strong plus).
  • Consulting & Customer-Facing Skills: Exceptional verbal and written communication skills; comfortable presenting technical architecture, building POCs/demos, and managing client stakeholders up to the C-suite.
  • Growth Mindset: Ability to spot technical expansion opportunities within existing client accounts and serve as a technical advocate to grow account footprint.

BenefitsEngagement Details & Terms
    • Contract Status: Independent Contractor (Form 1099-NEC).
    • Compensation: Hourly rate, commensurate with experience.

Skills Required

  • 5+ years of hands-on experience in data engineering, machine learning, or solutions architecture
  • 3+ years of deep technical experience with the Databricks ecosystem
  • Experience with Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows or Jobs, and Mosaic AI
  • Practical experience designing and deploying RAG pipelines and fine-tuning LLMs
  • Experience working with vector databases and managing ML pipelines end to end
  • Strong expertise in cloud-native architectures, preferably AWS
  • Proven experience migrating enterprise legacy data warehouses or lakes to Databricks
  • Databricks Certified Data Engineer Professional and/or Machine Learning Professional certification
  • Experience leading technical delivery for Fortune 500 or large enterprise clients
  • Strong client-facing communication, presentation, proof-of-concept, and executive stakeholder management skills
  • Ability to identify technical expansion opportunities and support account growth
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The Company
HQ: Tampa, FL
53 Employees
Year Founded: 2009

What We Do

Most organizations have some type of bottleneck internally that is often related to information flow that is preventing their growth. Here at RevStar, we’ve been there, and we have a simple 3-step methodology that will help you Analyze your bottleneck, Architect the most straight-forward solution, and Build a pure-cloud solution using our proprietary rapid app development modular approach. You’ll end up with a custom high-quality solution and avoid wasting time & money unnecessarily. When it comes to technology, RevStar understands your business needs. In today’s world of ever-evolving tech, constantly changing business needs, and infinite competition, your business needs a consultant that understands all of these factors and more. RevStar offers a diverse and experienced team of developers and consultants to help you identify your exact software application needs and develop them in a timely manner. Our team spans three countries and brings decades of experience in development to the table; so you can be sure you’re getting the best value and service possible. Through technical expertise and unmatched customer service, we hope to serve your business in all of its software, cloud-native applications, and technology needs. Don’t build a team from scratch when you can just borrow ours! You’ll save time and money by avoiding all the red tape that comes with hiring contractors and employees. Visit our website today to preview our services. Contact: https://www.revstarconsulting.com/contact-us/ Or [email protected]

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