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A leading data and AI company is seeking a Resident Solutions Architect to manage impactful customer engagements primarily around big data challenges. You will leverage cloud technologies, mentor clients on architecture and design, and ensure successful project delivery. The ideal candidate has extensive experience in data engineering, including proficiency in Python or Scala, and knowledge of cloud ecosystems like AWS, Azure, or GCP. This role requires up to 30% travel and offers comprehensive benefits.
This role requires candidates to be based in or near Mexico City or Guadalajara.
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 the 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.
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 leads to a 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
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 SparkTM 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
Ability to travel up to 30% when needed
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 SparkTM, Delta Lake and MLflow.
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 .
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.
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.