Solutions Architect; MLOps - Digital Native Business

Solutions Architect (AI/ML) – Digital Native Business

2 days ago – Be among the first 25 applicants.

While candidates in the listed locations are encouraged for this role, other locations will also be considered.

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the world’s most sophisticated data engineering and data science teams.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing organization to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows. Validate integrations with cloud services, home-grown tools, and other third‑party applications.
• Collaborate with fellow Solutions Architects, sharing skills to support each other and our users.
• Become an expert in, promote, and recruit contributors for Databricks‑inspired open‑source projects (Spark, Delta Lake, MLflow) across the developer community.

• 5+ years in data engineering, data science, technical architecture, or a similar pre‑sales/consulting role.
• Experience building distributed data systems.
• Proficiency in AI/ML solutions.
• Comfortable programming and debugging in Python and SQL.
• Experience building solutions with a public cloud provider (AWS, Azure, or GCP).
• Expertise in at least one of the following technologies:
  • Data Engineering – Spark
  • Data Science & Machine Learning – pandas, scikit‑learn, PyTorch, Tensor Flow, etc.
• Available to travel to customers in your region.
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
• Nice to have:
  Databricks Certification.

If your experience isn’t a perfect match for the job description but you feel you’re a good fit, apply. We want smart, passionate people who excel in their work, even if they have non‑linear career paths.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non‑commissionable roles. Actual compensation packages are based on several factors unique to each candidate, including job‑related skills, depth of experience, certifications, training, and work location. The total compensation package may also include eligibility for an annual performance bonus, equity, and benefits.

Local Pay Range: $161,300—$225,800 USD

We strive to provide comprehensive benefits and perks that meet the needs of all employees. For details on the benefits offered in your region, please visit our benefits portal.

We are committed to fostering a diverse and inclusive culture where everyone can excel. We consider applicants without regard to age, color, disability, ethnicity, gender identity or expression, language, national origin, race, religion, sexual orientation, or other protected characteristics.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• Software Development