Forward Deployed Engineer

Job not on LinkedIn

🔥 3 minutes ago

🌐 Colombia, Mexico, +4 more countries – Remote

🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇨🇱 Chile – Remote 🇻🇪 Venezuela – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 19%

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RevStar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

RevStar is a digital transformation and innovation consultancy that helps organizations move from vision to execution by combining strategic clarity with technical execution. They offer services including strategic growth roadmaps, modern customer journey design, GenAI/AI action plans, data infrastructure, product testing and MVP sprints, and modernization roadmaps. RevStar emphasizes practical, outcomes-driven innovation and partners with leaders in healthcare, insurance, and finance to solve mission-critical challenges.

📋 Description

• Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems. • 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 technical solutions. • Lead complex legacy platform migrations, including Snowflake, Teradata, legacy Hadoop, and SQL Server, onto Databricks Lakehouse architecture. • Guide enterprise customers in Healthcare, Retail, Financial Services, and other industries in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations. • Identify high-value technical use cases across client business units, expand Databricks platform usage, and drive measurable client ROI. • Mentor and coach junior Solution Engineers, Architects, and Consultants. • Contribute to internal RevStar code libraries, reusable accelerators, and technical delivery best practices.

🎯 Requirements

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

🏖️ Benefits

• Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team. • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative. • Equal opportunity workplace. • Reasonable accommodation for individuals with disabilities.