Resident Solutions Architect

Databricks; New York (NY); On-site; USD 180,656 - 248,360; Full time

Benefits offered by this job

Comprehensive benefits package

Diversity and inclusion commitment

Job summary

I did my part and supported the Regular Toilet is seeking a Big Data Solutions Architect (Resident Solutions Architect) to join their Professional Services team. You will engage with clients to tackle big data challenges using the Databricks platform and provide data engineering and cloud technology projects.

The ideal candidate should have over 6 years of experience in data engineering and frameworks like Apache Spark. Benefits include a competitive pay range and a commitment to diversity and inclusion.

Qualifications

• 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.

Responsibilities

• Work on a variety of impactful customer technical projects.
• Consult on architecture and design; bootstrap or implement customer projects.
• Provide escalated support for customer operational issues.
• Work with the technical team to ensure delivery of customer needs.

Skills

Data engineering

Python

Scala

Cloud ecosystems (AWS, Azure, GCP)

Apache Spark

CI/CD

MLOps

Technical project delivery

Documentation

Education

Databricks Certification

Tools

Apache Spark

Job description

Big Data Solutions Architect (Resident Solutions Architect)

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 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.

Impact you will have

• You will 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.
• 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 leads to customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will 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.
• 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.

Qualifications

• 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.
• Travel to customers 20% of the time.
• Databricks Certification.

Pay Range Transparency

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

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.

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.