# Data & AI Engineer – Databricks Specialist
## About the Role
RevStar is seeking a Data & AI Engineer – Databricks Specialist to build greenfield Lakehouse solutions and production-ready AI and data platforms. As an official Databricks Partner, RevStar is launching a dedicated, cloud-agnostic Data, ML, and AI practice focused on delivering scalable enterprise solutions.
In this role, you will work directly with data architects, data scientists, ML engineers, and client technology leaders to design modern Lakehouse architectures, build production data pipelines, operationalize AI models, and translate complex data requirements into business outcomes. The role combines hands-on engineering, performance optimization, MLOps, data governance, and client collaboration.
## Key Responsibilities
### Databricks Lakehouse & Data Engineering
Design, build, and optimize scalable ETL/ELT data pipelines using Apache Spark and Delta Lake.
Develop Lakehouse architectures across AWS, Azure, and GCP environments.
Build solutions that process structured and unstructured data at enterprise scale.
Automate data ingestion, storage, and feature engineering workflows.
Develop data infrastructure that supports analytics and real-time AI workloads.
Implement scalable and production-ready data engineering solutions.
### Performance Engineering & MLOps
Optimize Spark jobs for low latency, high throughput, and cloud cost efficiency.
Partner with ML engineers and data scientists to operationalize AI models within Databricks.
Use MLflow for model tracking, versioning, and deployment.
Build and maintain CI/CD pipelines for automated production deployments.
Implement Infrastructure-as-Code using Terraform and/or Databricks CLI.
Support production-grade deployment and operationalization of AI and data solutions.
### Data Governance & Client Leadership
Implement enterprise data security, access controls, and compliance requirements.
Apply governance practices using Unity Catalog and cloud ecosystems.
Support compliance requirements including GDPR, HIPAA, and SOC 2.
Collaborate directly with client technology leaders, product managers, and engineering teams.
Translate complex AI and data requirements into clear business outcomes.
Create clear technical documentation for implemented solutions.
Lead solution handoffs to client engineering teams upon project completion.
## Required Qualifications
3+ years of experience in cloud-native data engineering.
2+ years of dedicated, hands-on experience with Databricks, Apache Spark, Delta Lake, and MLflow.
Strong proficiency in:
Python
SQL
Apache Spark
CI/CD
Infrastructure-as-Code
Experience with Terraform or Databricks CLI.
Experience working in fast-paced Agile/DevOps consulting environments.
Experience delivering cloud-agnostic architectures.
Strong client communication and collaboration skills.
## Preferred Qualifications
Active Databricks Certified Data Engineer Associate or Professional certification.
Databricks ML Professional certification.
Databricks certification is strongly preferred and may distinguish candidates during the application process.
## Skills & Technologies
Databricks
Apache Spark
Delta Lake
MLflow
Python
SQL
ETL/ELT
Lakehouse architecture
Data pipelines
Data ingestion
Feature engineering
MLOps
CI/CD
Terraform
Databricks CLI
Infrastructure-as-Code
Unity Catalog
Data governance
Data security
AWS
Azure
GCP
Agile
DevOps
Cloud-agnostic architecture
## Work Arrangement & Employment
Role: Data & AI Engineer – Databricks Specialist
Location: Remote, United States
Preferred Time Zones: Eastern or Central Time Zone
Employment Type: Full-Time W2
Work Environment: Remote-first
## Compensation & Benefits
Paid time off
Medical, dental, and vision coverage
401(k) retirement plan
Annual learning and development stipend for conferences, certifications, and courses
Peer mentorship and coaching
Professional growth opportunities
Exposure to AWS GenAI, data, and cloud technologies across diverse industries
Company outings and volunteer opportunities
* Collaborative and innovative work environment
## About RevStar
RevStar is an innovation-focused company and official Databricks Partner building a dedicated, cloud-agnostic Data, ML, and AI practice. The team focuses on modern Lakehouse architectures and production AI solutions for enterprise clients.
RevStar's working principles include Self-Mastery, Ownership, and Shared Destiny, with an emphasis on engineering impact, continuous improvement, accountability, collaboration, and client outcomes.
## Equal Opportunity & Reasonable Accommodations
RevStar is an equal opportunity workplace that values and supports differences among employees, customers, and community members.
RevStar is committed to providing access, equal opportunity, and reasonable accommodations for individuals with disabilities in employment, services, programs, and activities. Accommodation requests can be directed to HR at [hr@revstarconsulting.com](mailto:hr@revstarconsulting.com).