Solutions Architect - Public Sector

Cacheflow; Maryland; On-site; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking Solution Architects to lead the growth of the Databricks Unified Analytics Platform. You will design architectures, guide customers through implementations, and collaborate with sales, post-sales, product teams, and developers to deliver tangible value.

The role requires expertise in data engineering, data science, and ML with hands-on experience in cloud platforms (AWS/Azure/GCP). Expect travel to customer sites and active collaboration with cross-functional teams.

Qualifications

• 7+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Experience programming in Python, Scala, Java, SQL, or R and debugging these languages.
• Experience supporting Public Sector clients.
• Experience building solutions with AWS, Azure, or GCP.
• Expertise in Data Engineering technologies (Spark, Hadoop, Kafka).
• Expertise in Data Warehousing (SQL, OLTP/OLAP/DSS).
• Experience in Data Science and Machine Learning (pandas, scikit-learn, HPO).
• 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 ML projects, and validate integrations with cloud services and other 3rd party applications.
• Build and present reference architectures, how-tos, and demo applications for customers.
• Become an expert in Databricks open-source projects and promote them across developer communities through meetups, conferences, and webinars.
• Travel to customers in your region.

Skills

Customer-facing pre-sales

Distributed data systems design

Cloud platforms

Programming: Python/Scala/Java/SQL/R

Education

Degree in quantitative discipline (CS/Applied Math/OR)

Tools

Spark

Hadoop

Kafka

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 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.