> Markdown version of [/jobs/ext/4459651-databricks-architect](https://www.wearedevelopers.com/jobs/ext/4459651-databricks-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Databricks Architect

- **Company:** Applexus Technologies, LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Identity and Access Management, Python (Programming Language), Performance Tuning, SQL Databases, Cloud Platform System, Data Lakes, Pyspark, Deployment Automation, Data Management, Software Version Control, Data Pipelines, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=46363f4978d34b4e

## About the Role

* 10+ years in data engineering or architecture, including 3+ years in technical leadership capacity.
 * Databricks mastery: Delta Lake, Unity Catalog, Workflows/Jobs, performance tuning - in production environments.
 * Advanced Python, PySpark & SQL with large-scale data processing and optimization experience.
 * Cloud platform fluency on at least one major hyperscaler (AWS, Azure, or GCP) - IAM, networking, observability, cost management.
 * CI/CD expertise for data platforms - testing, packaging, version control, and deployment automation.
 * Stakeholder management skills with the ability to translate architecture into business outcomes for both technical and executive audiences.
 * Databricks ecosystem awareness - familiarity with partner programs, joint GTM, and co-sell dynamics is a plus, not a prerequisite., An architect with a consulting or services background who has delivered Databricks platform programs end-to-end. You are hands-on, entrepreneurial, and ready to own delivery outcomes while building practice capability alongside you.

## Description

You will partner closely with the Databricks field team shaping joint solutions, supporting co-sell pursuits, and occasionally participating in roadshows and partner events. The primary focus is delivery excellence; the GTM dimension adds strategic reach., * Architecture & Delivery: Design Databricks Lakehouse platforms using Delta Lake; define reference patterns for ingestion, transformation, and consumption layers.

 * Data Engineering: Build and maintain batch and streaming pipelines with Python, PySpark, and SQL; implement data quality and validation frameworks.
 * Governance & Security: Implement Unity Catalog in production - governance, lineage, auditing, access controls, and secure sharing.
 * Performance & Cost: Optimize workloads end-to-end; establish cluster policies, tagging, and cost controls.
 * Platform Standards: Drive CI/CD, environment promotion (dev/test/prod), and engineering best practices across teams.
 * Operational Excellence: Define monitoring, alerting, incident response, and SLA/SLO processes; implement observability across pipelines.
 * Technical Leadership: Mentor engineers, lead design and code reviews, and shape the practice roadmap.
 * Partner Engagement: Collaborate with the Databricks partnership team on joint offerings, co-sell activity, and select roadshow and field events.