Databricks Forward Deployed Engineer

RevStar

7d • Remote

About The Position

RevStar is seeking a Databricks Forward Deployed Engineer (FDE) to join its Data & AI Practice. The role works at the intersection of technical architecture, hands-on engineering, and executive client engagement, serving as both a builder and a technical advisor. The engineer owns delivery across high-impact enterprise accounts, designing data foundations, implementing Generative AI applications, and migrating workloads to the Databricks Lakehouse platform. The position also supports customer adoption and platform growth by identifying use cases and building alignment with client technical leadership.

The role involves leading enterprise engagements and delivering production-grade data pipelines, analytics engines, and AI/LLM applications with Databricks and cloud technologies. It also includes modernizing legacy data estates, implementing advanced analytics and GenAI solutions, mentoring colleagues, and contributing reusable technical assets and delivery practices. RevStar emphasizes ownership, continual improvement, and shared success.

Requirements

• At least 5 years of hands-on experience in Data Engineering, Machine Learning, or Solutions Architecture.
• At least 3 years of deep technical experience in 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 is preferred, including technologies such as S3, Glue, Lambda, and Redshift.
• A proven track record migrating enterprise legacy data warehouses or lakes to Databricks.
• Demonstrated experience leading technical delivery for Fortune 500 or large enterprise clients.
• Exceptional verbal and written communication skills, with the ability to present technical architecture and manage client stakeholders up to the C-suite.
• Ability to identify technical expansion opportunities within existing client accounts.

Nice To Haves

• Databricks Certified Data Engineer Professional certification and/or Databricks Certified Machine Learning Professional certification.
• Experience with Healthcare, Retail, or Consumer Goods clients.
• AWS cloud architecture expertise.

Responsibilities

• Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and cloud ecosystems.
• Lead technical delivery on strategic enterprise engagements and translate business challenges into technical solutions in collaboration with executives, data leaders, and engineering teams.
• Lead migrations of legacy platforms, including Snowflake, Teradata, legacy Hadoop, and SQL Server, to the 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 to expand Databricks platform usage and deliver measurable client ROI.
• Mentor and coach junior Solution Engineers, Architects, and Consultants.
• Contribute to RevStar code libraries, reusable accelerators, and technical delivery best practices.
• Present technical architectures, build proofs of concept and demos, and manage client stakeholders up to the C-suite.
• Identify technical expansion opportunities within existing client accounts and advocate for platform adoption.

Benefits

• Paid time off.
• Remote-first working environment.
• Medical, dental, and vision coverage.
• Company-sponsored 401(k) retirement plan.
• Annual learning and development stipend for conferences, certifications, or courses.
• Peer mentorship and coaching.
• Professional growth opportunities and exposure to AWS GenAI, data, and cloud technologies across diverse industries.
• Company outings and volunteer opportunities.
• Collaborative, innovative culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed