Solutions Architect - Strategic High Tech

Databricks; San Francisco (CA); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks in San Francisco, CA is seeking a Strategic Solutions Architect on the Digital Natives team to shape the future of the big data landscape by collaborating with top data engineering and data science teams.

You will partner with sales, design architectures, run proofs of concept across data engineering, data science and ML workflows, and help enterprise customers leverage the Databricks platform and open-source projects like Spark and MLflow.

Qualifications

• 5+ years in data engineering, data science, architecture or pre-sales/consulting role.
• Experience building distributed data systems.
• Proficient in Python and SQL.
• Experience with public clouds (AWS, Azure, GCP).
• Expertise in data engineering or data science and ML tooling (e.g., Spark, Hadoop, Kafka; pandas, scikit-learn, PyTorch, TensorFlow).
• Willing to travel to customers in your region.
• Desirable: degree in quantitative field; Databricks Certification.

Responsibilities

• Partner with the sales team to provide technical leadership and solutions.
• Consult on Big Data architectures and implement proofs of concepts; validate integrations with cloud services and tools.
• Collaborate with Solutions Architects to support customers and users.
• Promote and recruit contributors for Databricks open-source projects (Spark, Delta Lake, MLflow).

Skills

Python

SQL

Big Data

Cloud platforms

Pre-sales

Education

Degree in quantitative discipline

Databricks Certification

Job description

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As a Strategic Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape of one of the largest global tech companies by working with the most sophisticated data engineering and data science teams.

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

The Impact You Will Have

• You will 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 and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your 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, and MLflow) across the developer community.

What We Look For

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• 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

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 position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$180,000—$247,500 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.