Databricks Solution Architect

Job Title : Forward Deployed Engineer (Databricks & Data Platforms)

Location : Remote

Employment Type : W2 Contract (No C2C)

Role Overview :

We are seeking an experienced Forward Deployed Engineer (FDE) to act as the primary technical bridge between our data platforms and client success. This is a high-velocity role for an engineer who thrives in ambiguity and can context-switch seamlessly between multiple concurrent client projects. Unlike traditional architecture roles, you will be embedded directly within client delivery teams to own the end-to-end implementation of Databricks-centric Lakehouse platforms. You will be responsible for translating complex requirements into production-ready systems, ensuring rapid delivery without compromising technical rigor.

Key Responsibilities :

• Rapid Delivery & Multi-Project Agility : Manage technical priorities across multiple client engagements simultaneously, pivoting between distinct architectural needs in a fast-paced, high-demand environment.

• CI/CD & Engineering Rigor : Architect and maintain automated CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) for data engineering workflows, ensuring robust version control, automated testing, and seamless deployment of Databricks assets.

• Embedded Solution Delivery : Act as a core member of client delivery teams, translating business challenges into functional, high-impact data solutions.

• Platform Architecture : Architect, build, and launch end-to-end Databricks Lakehouse platforms using the Medallion Architecture (Bronze/Silver/Gold).

• Engineering Ownership : Own the full development lifecycle, from technical design and ETL/ELT pipeline construction (Databricks Workflows, SQL Warehouses, Spark) to deployment, monitoring, and production support.

• Data Governance & Security : Implement governed Lakehouse patterns (Unity Catalog, RBAC/ABAC, lineage, compliance) while balancing security with development agility.

• System Integration : Design distributed integration patterns across cloud-native services (AWS, Azure, GCP) and enterprise systems (CRM, ERP, Kafka/Kinesis streams).

• Operational Excellence : Lead architecture reviews, mentor client engineering teams, and drive cloud cost optimization across storage and compute.

Technical Qualifications :

• Deep Databricks Expertise : Strong hands-on experience with Unity Catalog, Delta Live Tables (DLT), Photon Engine, and Lakehouse Federation.

• CI/CD & DevOps : Demonstrated experience implementing CI/CD pipelines for data platforms. Proficiency with Infrastructure as Code (Terraform) and version control workflows.