Databricks Forward Deployed Engineer (AI/ML)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 9d ago
The date the source published, not the day we noticed it (2026-09-23). Last seen at its source 3h ago.
We have tracked this listing since 23 Sep 2026 (8 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Colombia, Mexico, Brazil, Argentina, Chile, Venezuela
The description agrees: it names LATAM.
What the ad says
…(LATAM Based (LATAM Based) At RevStar, we build cutting-edge cloud, data, and Generat…
…LATAM Based LATAM Based) At RevStar, we build cutting-edge cloud, data, and Generat…
…Location : Remote (LATAM Based) At RevStar, we build cutting-edge cloud…
Pay not stated
Similar roles pay $90k–102k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Colombia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 8d ago · last seen 3h ago
The listing
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.
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.
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.
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
Engagement Details & Terms
- Contract Status: Independent Contractor (Form 1099-NEC).
- Compensation: Hourly rate, commensurate with experience.