Job Description

Job Title: Databricks Solutions Architect

Location: United States

This position requires either US Citizenship or a Green Card to be eligible for hire.

About the Role:
We are seeking a highly experienced Solutions Architect to join our team. This role is ideal for a technical leader with a strong background in data engineering, cloud-based platforms, and analytics. The successful candidate will design, implement, and optimize scalable data solutions, leveraging distributed computing frameworks and cloud ecosystems while engaging directly with clients to deliver impactful results.

Key Responsibilities:

• Lead the design, development, and deployment of data engineering solutions on platforms such as Databricks.
• Develop and optimize distributed computing workloads using Spark, with deep knowledge of Spark runtime internals.
• Deliver production-grade solutions leveraging CI/CD pipelines, MLOps practices, and scalable data architectures.
• Work across multiple cloud environments (AWS, Azure, GCP), with deep expertise in at least one platform.
• Engage directly with clients to scope projects, communicate technical concepts, and ensure successful delivery.
• Drive performance optimizations and scalability improvements across data engineering pipelines and architectures.
• Stay current with Databricks products and platform features, applying best practices to client projects.
• Mentor junior engineers and provide technical leadership on complex projects.

Required Skills & Experience:

• 7+ years of experience in data engineering, data platforms, and analytics.
• 10+ years of consulting experience with a proven track record of client engagement.
• Completion of Data Engineering Professional certification and required classes.
• Extensive hands-on experience with Databricks
• Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with deep expertise in at least one.
• Deep expertise in distributed computing frameworks, particularly Apache Spark, including runtime internals.
• Familiarity with CI/CD practices for production deployments.
• Working knowledge of MLOps and production ML pipelines.
• Current knowledge across the breadth of Databricks product and platform features.
• Experience implementing optimizations for performance, reliability, and scalability.

Preferred Skills:

• Experience with large-scale data warehouses, ETL/ELT pipelines, and data lake architectures.
• Strong data modeling and analytics expertise.
• Experience mentoring teams and leading technical initiatives.

Why Join Us:

• Lead cutting-edge data engineering and analytics projects for top-tier clients.
• Apply and expand your expertise across cloud platforms, distributed systems, and Databricks technologies.
• Collaborate in a dynamic environment with opportunities to mentor and shape technical strategy.