Resident Solutions Architect-Public Sector

Databricks; Washington (District of Columbia); On-site; USD 161,280 - 225,792; Full time

Benefits offered by this job

Comprehensive benefits and perks

Diversity and inclusion initiatives

Job summary

A leading data and AI company is seeking a Resident Solutions Architect to tackle customer engagements on big data challenges. You'll collaborate on projects involving data engineering, cloud technology, and provide exceptional customer service. The ideal candidate has significant experience in data platforms and proficiency in coding with Python or Scala. Knowledge of cloud ecosystems and Apache Spark™ is essential. The position requires a U.S. Top Secret Clearance and offers competitive compensation based on experience.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics.
• Deep experience with distributed computing with Apache Spark™.
• Comfortable writing code in either Python or Scala.

Responsibilities

• Manage impactful customer technical projects.
• Guide strategic customers on transformational big data projects.
• Consult on architecture and design for customer projects.

Skills

Data engineering

Cloud ecosystems (AWS, Azure, GCP)

Apache Spark™

Python

Scala

MLOps

Technical project delivery

Documentation

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience

Job description

U.S. Secret clearance or above is required for this position

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get maximum value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

Impact You Will Have

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which lead to customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What We Look For

• US Top Secret Clearance Required for this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery – managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

Pay Range Transparency

Zone 1 Pay Range

$161,280 — $225,792 USD

Zone 2 Pay Range

$161,280 — $225,792 USD

Zone 3 Pay Range

$161,280 — $225,792 USD

Zone 4 Pay Range

$161,280 — $225,792 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.