Resident Solutions Architect – Digital Native Business

Databricks

Big Data Solutions Architect handling customer technical projects on their big data challenges. Working with the Databricks platform for data engineering, data science, and cloud technology.

Posted 5/19/2026full-timeRemote • California, Maryland, Massachusetts, North Carolina, Oregon, Pennsylvania, South Carolina, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $180,656 - $248,360 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureBootstrapCloudGoogle Cloud PlatformPythonScalaSpark

About the role

Key responsibilities & impact

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 a customers' successful understanding, evaluation and adoption of Databricks.
Provide an escalated level of 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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata platformsanalyticsPythonScalaAWSAzureGCPApache SparkMLOps

Soft Skills

documentation skillswhite-boarding skillsclient managementconflict managementproject deliveryscope managementtimeline management