Guide customers on Databricks administration and security on GCP. Architect production deployments, provide technical leadership, and support pre/post-sales activities. Requires 5+ years GCP expertise and 2+ years big data experience.
180k – 248k/yr
Remote5+ YOESolutions Architecture
About the role
Responsibilities
Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment.
Architect production-level deployments, including meeting necessary security and networking requirements.
Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management.
Assist Solution Architects with more advanced aspects of the technical sales process, including custom proof-of-concept content and custom architectures.
Provide tutorials and training to improve community adoption (including hackathons and conference presentations).
Contribute to the Databricks Community.
Requirements
5+ years of experience in a technical role with deep expertise in GCP platform architecture, including cloud security, networking best practices, and designing data platforms on cloud infrastructure.
Deep specialized expertise in at least one of the following core domains:
Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management.
Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve.
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience.
2+ years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed architectures.
Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
2+ years of experience in a pre-sales or post-sales technical role.
Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire.
Willingness to travel up to 30% as needed.
Nice-to-Haves
(none explicitly listed)
Skills
GCPTerraformPythonJavaScalaSQLSparkHadoopKafkaInfrastructure As Code
Deployment Engineer responsible for end-to-end customer deployments of Squint's industrial AI/AR knowledge graph platform. Write production code for custom integrations, workflows, and data pipelines; spend time on factory floors gathering requirements and proving value; translate field learnings into product feedback. Requires 3+ years software engineering experience and comfort with ambiguity and travel.
180k – 220k/yr
On-site3+ YOESolutions Architecture
Solutions Architect, Retail
DatabricksSeattle, WA
Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
180k – 248k/yr
Hybrid5+ YOESolutions Architecture
Solutions Architect, Retail
DatabricksUnited States
Pre-sales Solutions Architect focused on Retail/CPG accounts. Leads technical strategy for large enterprise customers to drive Databricks adoption, ML/AI use cases, data transformation, and build technical champions. Requires 5+ years in large accounts and 3+ years pre-sales with big data/cloud expertise.
180k – 248k/yr
Remote5+ YOESolutions Architecture
Solutions Architect, Retail
DatabricksUnited States
Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
180k – 248k/yr
Remote5+ YOESolutions Architecture
Solutions Architect
DatabricksArizona +2
Pre-sales Solutions Architect partnering with Enterprise Account Executives to define technical strategy for large accounts. Leads data-driven transformation and ML/AI adoption for High Tech and Manufacturing customers using Databricks platform. Requires strong technical background in big data, cloud, and production programming.