RSA (Sr. Forward Deployed Engineer)

dBestWorkz LLC; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

RSA is seeking a Sr. Forward Deployed Engineer to lead Databricks implementations remotely. The role combines front-end integration, back-end data engineering, and systems integration with client-facing consulting and solution architecture.

The ideal candidate will own delivery, convert ambiguous requirements into scalable designs, and work directly with customers and business stakeholders to ensure successful outcomes.

Qualifications

• Hands-on Databricks implementation experience.
• Experience leading customer-facing delivery.
• Strong problem-solving and ownership of outcomes.
• Ability to communicate with both technical and non-technical stakeholders.

Responsibilities

• Lead full-stack Databricks implementations including front-end integration, back-end data engineering, systems integration, technical consulting, and solution architecture.
• Build and deploy production-grade data pipelines and cloud-native solutions in customer environments.
• Convert ambiguous business requirements into scalable designs and reusable patterns.
• Configure, troubleshoot, and optimize Databricks solutions with clients and stakeholders.
• Drive end-to-end delivery and build trust with customers.

Skills

Databricks

Apache Spark

PySpark

Python

SQL

Cloud platforms

Data engineering

Lakehouse architecture

Systems integration

Solution architecture

CI/CD

MLOps

Technical leadership

Job description

RSA (Sr. Forward Deployed Engineer) -- Databricks -- REMOTE

Experience: 12 Years

Type: REMOTE

Certification: Databricks Certified Data Engineer Professional (Preferred)

Key Skills:

• Databricks, Apache Spark, PySpark, Python, SQL
• AWS / Azure / Google Cloud Platform
• Data Engineering & Lakehouse Architecture
• Systems Integration & Solution Architecture
• CI/CD, Performance Optimization & MLOps
• Customer Consulting & Technical Leadership

Role Overview:

• Lead full-stack Databricks implementations including front-end integration, back-end data engineering, systems integration, technical consulting, and solution architecture.
• Build and deploy production-grade data pipelines and cloud-native solutions in customer environments.
• Convert ambiguous business requirements into scalable technical designs and reusable implementation patterns.
• Configure, troubleshoot, and optimize Databricks solutions while collaborating directly with clients and business stakeholders.
• Drive end-to-end delivery, build customer trust, and communicate effectively with both technical and non-technical audiences.

Ideal Candidate:

• Hands-on builder mindset with Databricks implementation projects.
• Comfortable working in fast-paced, customer-facing environments.
• Strong problem-solving, adaptability, troubleshooting, and ownership of delivery outcomes.
• Ability to represent engineering teams confidently in front of customer stakeholders.