Solutions Architect - Public Sector

Databricks; Virginia (IL); On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Solution Architect to partner with customers and the sales team to articulate the value of the Databricks Unified Analytics Platform. You will design architectures, lead technical discussions, and guide customers from concept through implementation, building champions along the way.

You will work across data engineering, analytics, and ML projects, deliver reference architectures, and promote Databricks open-source projects.

Qualifications

• 7+ 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.
• Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka).
• Data Warehousing (SQL, OLTP/OLAP/DSS).
• Data Science and Machine Learning technologies (pandas, scikit-learn, HPO).
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
• Top Secret Security Clearance required.

Responsibilities

• 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 proofs 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 references architectures, how-tos, and demo applications for customers.
• Become an expert in, and promote Databricks inspired open-source projects across developer communities through meetups, conferences, and webinars.
• Travel to customers in your region.

Job description

FEQ427R29 Solution 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 Sr. 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 references architectures, how-tos, and demo applications for customers

Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars

Travel to customers in your region

What we look for

• 7+ 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
• Expertise in at least one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
• Data Warehousing ( Ex: SQL, OLTP/OLAP/DSS )
• Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, HPO )
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Top Secret Security Clearance required

Pay Range

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.

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