Solutions Architect - Public Sector SLED

Databricks; Central (LA); On-site; USD 120,000 - 160,000; Full time

Job summary

Databricks is seeking a Solutions Architect in Central Louisiana to join their dynamic team. The role focuses on leveraging the Databricks Unified Analytics Platform, guiding customers through implementation, and acting as a trusted advisor in data engineering and analytics.

The ideal candidate will have over 6 years of customer-facing experience, strong programming skills, and a background in distributed data systems. This role offers a chance to lead impactful projects with public cloud solutions.

Qualifications

• 6+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Familiarity with data warehousing techniques and technologies.

Responsibilities

• Partner with sales to highlight Databricks’ benefits.
• Provide technical leadership in evaluating Databricks.
• Implement proof of concepts for customers.

Skills

Customer-facing experience

Technical architecture design

Programming (Python, Scala, Java, SQL, or R)

Data Engineering technologies

Public cloud solutions (AWS, Azure, GCP)

Education

Degree in a quantitative discipline

Tools

Apache Spark

Delta Lake

MLflow

Job description

FEQ227R359

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open‑source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer‑facing role, where you will work with customers, your teammates, the product team, and our post‑sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how‑to’s, and demo applications for customers
• Become an expert in, and promote Databricks inspired open‑source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 6+ years in a customer‑facing pre‑sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this