Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks Inc.; Atlanta (GA); On-site; USD 180,656 - 248,360; Full time

Job summary

A leading data and AI company is looking for a Big Data Solutions Architect in Atlanta, Georgia. In this role, you will work directly with clients to deliver impactful data engineering and cloud technology projects using the Databricks platform. Candidates should have extensive experience with data solutions, coding skills in Python or Scala, and knowledge of distributed computing with Apache Spark. This position requires travel to customers approximately 20% of the time and offers a competitive compensation package.

Qualifications

• 6+ years experience in data engineering, data platforms, and analytics.
• Experience managing technical project delivery with scope and timelines.
• Familiarity with CI/CD for production deployments.

Responsibilities

• Work on impactful technical projects designing and building reference architectures.
• Consult on architecture and design for customer projects.
• Provide escalated support for customer operational issues.

Skills

Data engineering

Cloud ecosystems (AWS, Azure, GCP)

Distributed computing with Apache Spark™

MLOps

Coding in Python or Scala

Documentation and white-boarding

Education

Databricks Certification

Job description

Overview

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients 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 to get most 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.

Responsibilities

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to\'s and productionalizing customer use cases
• Collaborate with engagement managers to scope professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 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 a customer\'s successful understanding, evaluation and adoption of Databricks
• Provide escalated support for customer operational issues
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer\'s needs
• Collaborate 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 / Qualifications

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more 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
• Travel to customers 20% of the time
• 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 base 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 anticipated 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.

Zone 1 Pay Range

$180,656 — $248,360 USD

Zone 2 Pay Range

$180,656 — $248,360 USD

Zone 3 Pay Range

$180,656 — $248,360 USD

Zone 4 Pay Range

$180,656 — $248,360 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide 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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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.