Resident Solutions Architect

We are seeking two senior Resident Solutions Architects / Forward Deployed Engineers to lead hands-on Databricks implementations for enterprise customers. The strongest candidates will bring deep Databricks ecosystem expertise, proven Databricks Apps development experience, and practical AI experience on the platform. This is a delivery-focused role for a trusted technical advisor who can design, build, deploy, and optimize production solutions.

 

KEY RESPONSIBILITIES
* Lead customer-facing Databricks engagements from discovery and architecture through production deployment and adoption.
* Design and develop Databricks Apps and production-grade data/AI solutions using Python or Scala, SQL, Apache Spark, Delta Lake, and Databricks platform services.
* Build reference architectures and scalable solutions across batch/streaming data engineering, analytics, AI/ML, and GenAI use cases.
* Own technical delivery: write and review code, troubleshoot complex issues, tune Spark workloads, and improve performance, reliability, and cost.
* Implement CI/CD, MLOps, security, governance, observability, and operational best practices for enterprise deployments.
* Partner with customer stakeholders, project managers, account teams, engineering, and support to manage scope, risks, dependencies, and escalations.
* Translate complex technical concepts into clear recommendations, phased roadmaps, and measurable customer outcomes.
REQUIRED QUALIFICATIONS
* 17+ years of overall IT experience, including senior architecture, engineering, consulting, or platform delivery responsibilities.
* 5+ years of recent, hands-on experience across the Databricks ecosystem; demonstrated delivery of multiple production implementations.
* Strong Databricks Apps development experience, including secure application architecture, data access, deployment, and lifecycle management.
* Deep expertise in Apache Spark and distributed computing, including runtime behavior, optimization, scalability, and production troubleshooting.
* Advanced coding skills in Python and/or Scala plus strong SQL and data architecture fundamentals.
* Deep expertise in at least one cloud platform (AWS, Azure, or Google Cloud Platform) and working knowledge of a second.
* Proven consulting and executive-facing communication skills, with the ability to build trust and guide technical decisions.
HIGHLY PREFERRED
* Hands-on AI/ML or GenAI experience on Databricks, including MLflow/Mosaic AI, model serving, vector search, RAG, agents, or production MLOps.
* Databricks Data Engineer Professional or comparable Databricks certification.
* Experience scoping professional services engagements, estimating effort, and defining technical deliverables.