Databricks Forward Deployed Engineer (AI/ML)

RiseMe; Arizona; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First Environment

Health Coverage

401(k) Retirement Plan

Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Work

Collaborative Culture

Job summary

RevStar is seeking a Senior Databricks Forward Deployed Engineer to join our Data & AI Practice. You will own the full delivery lifecycle for high-impact enterprise accounts, designing scalable data foundations and GenAI solutions on the Databricks Lakehouse.

You will mentor junior engineers and drive adoption across client teams, interfacing with C-level executives. The role blends architecture, hands-on engineering, and executive client engagement in a remote-first environment with global

Qualifications

• 5+ years of hands-on data engineering, ML, or solutions architecture.
• 3+ years in the Databricks ecosystem (Delta Lake, Unity Catalog, MLflow, Spark/PySpark).
• Experience with GenAI/LLM deployments and vector databases.
• Proven ability to lead enterprise technical delivery and mentor juniors.

Responsibilities

• Design, build, and deploy data pipelines and GenAI applications on Databricks.
• Lead enterprise client engagements and align technical delivery with business goals.
• Migrate legacy workloads to Databricks Lakehouse and modernize estates.
• Drive platform adoption and growth across client organizations.
• Mentor solution engineers, architects, and consultants.

Skills

Solution Architecture

Engineering Leadership

Databricks

GenAI/ML Pipelines

Cloud Architecture

Client Engagement

Mentorship

Tools

Databricks Certification(s)

Job description

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.

Technical 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.

• Paid Time Off - Take the time you need to recharge and stay productive.
• Remote-First Working Environment - Collaborate from anywhere while staying connected with our global team.
• Comprehensive Health Coverage - Medical, Dental, Vision
• 401(k) Retirement Plan - Plan for your future with access to a company-sponsored 401(k) program.
• Annual Learning & Development Stipend - Invest in your skills with conferences, certifications, or courses.
• Peer Mentorship & Coaching - Learn from experienced engineers, product managers, and architects to accelerate your growth.
• Professional Growth Opportunities - Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
• Company Outings & Volunteer Opportunities - Build relationships and give back to the community.
• Collaborative, Innovative Culture - Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [e-mail].