RevStar is a digital transformation consultancy that helps organizations turn strategic priorities into working products and services. Its team brings together growth planning, customer journey design, AI and generative AI planning, data infrastructure, product testing, MVP development, and technology modernization. RevStar works with leaders in healthcare, insurance, and finance on mission-critical challenges, connecting strategic direction with hands-on technical execution. The company’s hiring context is not specified in the available information.
Senior Databricks Forward Deployed Engineer
Lead Databricks cloud data, Lakehouse, and generative AI delivery for enterprise customers across Latin America. Own migrations, technical execution, adoption, and customer growth.
Сипаттама
- Build and launch production data pipelines, analytics platforms, and generative AI applications with Databricks, Spark, Python, PySpark, and cloud technologies.
- Lead technical delivery for strategic enterprise customer engagements.
- Turn business needs into technical solutions with executives, data leaders, and engineering teams.
- Move legacy platforms such as Snowflake, Teradata, Hadoop, and SQL Server to Databricks Lakehouse architecture.
- Help enterprise customers across healthcare, retail, financial services, and other sectors adopt generative AI, RAG, model fine-tuning, and MLflow or Mosaic AI.
- Find valuable technical use cases, grow Databricks adoption, and deliver measurable customer returns.
- Coach junior solution engineers, architects, and consultants.
- Improve RevStar’s internal code libraries, reusable accelerators, and delivery practices.
Талаптар
- At least five years of hands-on work in data engineering, machine learning, or solutions architecture.
- At least three years of in-depth Databricks experience, including Delta Lake, Unity Catalog, MLflow, Spark or PySpark, Databricks Workflows or Jobs, and Mosaic AI.
- Practical experience building and deploying RAG pipelines, fine-tuning large language models, using vector databases, and managing machine learning pipelines end to end.
- Strong cloud architecture skills; AWS is preferred, including S3, Glue, Lambda, and Redshift.
- A demonstrated record of moving enterprise data warehouses or lakes from legacy platforms to Databricks.
- Databricks Certified Data Engineer Professional and/or Machine Learning Professional certification preferred.
- Experience leading technical delivery for Fortune 500 or other large enterprise customers.
- Healthcare, retail, or consumer goods experience is a strong advantage.
- Excellent written and verbal communication skills.
- Able to present technical architectures, build proofs of concept and demos, and manage stakeholders through the C-suite.
- Able to spot technical growth opportunities in existing accounts and advocate for solutions that expand the account.
Артықшылықтар
- Remote-first work with the flexibility to collaborate from anywhere while staying connected to a global team.
- A collaborative, innovative, fast-paced, and supportive culture that values curiosity and initiative.
- Equal opportunity workplace.
- Reasonable accommodations are available for people with disabilities.
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