Databricks Senior Architect

As a Databricks Senior Architect
, you will lead the architecture and technical delivery of Primoris’ Databricks-based data platform and use cases across data engineering, analytics, and AI/ML. You will step into an in-flight program, rapidly absorb context, and provide the architectural backbone needed to reliably deliver value from Primoris’ data.

You will act as a trusted technical advisor and delivery owner
, working closely with Primoris’ data, IT, and business teams (and implementation partners) to establish a clear architectural vision, define and prioritize use cases, and guide them into production on the Databricks Lakehouse. While this role is primarily focused on architecture, design, and technical leadership
, you will also contribute hands‑on where needed to accelerate critical workloads and mentor the wider engineering team.

This role is ideal for someone who wants to grow as a platform and solution leader
, enjoys solving complex data and AI problems, and can connect technical decisions to measurable business outcomes (e.g., project profitability, safety and quality insights, forecasting, and operational efficiency).

• Define and maintain the end-to-end architecture for Primoris’ Databricks Lakehouse, including Medallion layer patterns, ingestion, transformation, serving, and AI/ML/GenAI workloads.
• Design and implement scalable, secure Databricks patterns (including serverless where appropriate) that power batch, streaming, ML, and GenAI workloads, optimizing for performance, cost, security, and reliability
  .
• Architect and implement solutions using the Databricks Medallion architecture
  , Unity Catalog, and Delta Lake to support both analytical and operational use cases.
• Partner with Primoris’ enterprise / solution architecture, security, infrastructure, and application teams to align Databricks with broader platform and integration standards
  .

• Assist in architecting, developing, deploying, and migrating priority use cases and workloads into production on the Databricks Lakehouse.
• Serve as the first point of contact for technical challenges or questions related to development and production workloads (triage, root cause analysis, coordination of escalation as needed).
• Provide technical leadership and delivery oversight across hybrid teams, including internal employees, consulting partners, and offshore resources, ensuring seamless coordination, clear accountability, and consistent outcomes.
• Establish and champion engineering standards (CI/CD, automated testing, observability, monitoring/alerting, incident runbooks) to ensure production‑grade delivery and operations.
• Design and review workflows, jobs, and streaming pipelines (e.g., Auto Loader, DLT, structured streaming) for robustness, recoverability, and SLA adherence.
• Implement Databricks product innovations, private previews, and upgrades following change management and release best practices, in coordination with Primoris IT and partners.
• Build and review multi‑language notebooks (SQL, Python / PySpark) with a primary focus on data engineering and data science / AI/ML
• Design and guide implementation of streaming and batch data pipelines (Auto Loader, DLT, Structured Streaming) handling structured, semi‑structured, and unstructured data.

• Implement and oversee Row‑Level Security (RLS), column masking, data encryption/decryption
  , and other data protection controls using Unity Catalog and cloud‑native capabilities.
• Work with security and compliance stakeholders to define and implement data governance models
  , access patterns, data classification, auditing, and regulatory/contractual controls as required.
• Ensure all architectures and implementations align with Primoris’
  security, networking, and compliance standards for Azure and Databricks.

• Participate in discovery workshops with business and technical stakeholders to understand current‑state architecture, data flows, pain points, and priority use cases.
• Translate findings into strategic roadmaps
  , architecture options, and phased delivery plans with clear trade‑offs, milestones, and…