Databricks Forward Deployed Engineer

RevStar; Texas; Remote; USD 170,000 - 250,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First Working Environment

Comprehensive Health Coverage

401(k) Retirement Plan

Annual Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteering

Job summary

RevStar is seeking a Databricks Forward Deployed Engineer (FDE) to join our Data & AI Practice. In this remote-first role, you will own the full delivery lifecycle for high-impact enterprise accounts, designing scalable data foundations, implementing GenAI solutions, and migrating workloads to the Databricks Lakehouse.

You will partner with executives to drive adoption, mentor junior engineers, and contribute to scalable delivery accelerators across AWS cloud environments.

Qualifications

• 5+ years in data eng, ML, or solutions architecture.
• 3+ years with Databricks ecosystem incl Delta Lake, Unity Catalog, MLflow, Mosaic AI.
• Experience designing and deploying GenAI/RAG pipelines.
• Strong cloud architecture skills (AWS preferred).
• Proven data migration and modernization experience.

Responsibilities

• Design, build, and deploy production-grade data pipelines and GenAI apps on Databricks.
• Lead enterprise client engagements as primary technical leader.
• Migrate legacy platforms to Databricks Lakehouse.
• Guide GenAI adoption, RAG architectures, model fine-tuning, and MLflow integrations.
• Identify high-value use cases and expand Databricks adoption.
• Mentor junior engineers and contribute to internal libraries and best practices.

Skills

Data engineering

Machine learning

Solutions architecture

Databricks ecosystem

Cloud architecture

Client engagement

Tools

Databricks platform

Spark/PySpark

MLflow

Databricks Mosaic AI

AWS

SQL

Job description

Build What Matters at RevStar

Position: Databricks Forward Deployed Engineer (FDE)

• Reports To: Product Manager/Engineering Lead
• Location : Remote (AZ, FL, TX)
• Employment Type: Full-Time W2

Job Summary

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.

We are seeking a 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.

Our Core Values:

• Self-Mastery : We hold a high bar for how we think, communicate, and improve.
• Ownership : We own outcomes, not just effort.
• Shared Destiny : We rise or fall together.

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.

Requirements

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.

Benefits

• 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-Verify

Our company participates in E-Verify to confirm work authorization for all newly hired U.S. employees; this process applies strictly to direct W-2 hires and is not applicable to independent contractor roles.