
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.
🕒 October 20
🌵 Arizona, Florida, +1 more states – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
👻 Ghost score 20%
Where this job comes from
Posted on RevStar's careers page, not through a job board
First seen by Remote Rocketship October 20
Still open on RevStar's site. Checked 12 hours ago.

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.
• 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 migrations from Snowflake, Teradata, legacy Hadoop, SQL Server, and other platforms onto Databricks Lakehouse architecture • Guide enterprise customers 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
• 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; 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 spot technical expansion opportunities within existing client accounts and serve as a technical advocate to grow account footprint
• Paid Time Off • Remote-First Working Environment • Comprehensive Health Coverage – Medical, Dental, Vision • 401(k) Retirement Plan • Annual Learning & Development Stipend • Peer Mentorship & Coaching • Professional Growth Opportunities • Company Outings & Volunteer Opportunities • Collaborative, Innovative Culture
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