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Databricks Architect

Job in Juneau, Juneau Borough, Alaska, 99812, USA
Listing for: Openkyber
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Databricks Architect 12 Months contract extension/ Fulltime job Vienna, VA

Job Description:

About the Role We are seeking an experienced Databricks Resident Solutions Architect (RSA) to lead the architecture, implementation, and optimization of enterprise Databricks Lakehouse solutions. This is a hands‑on, customer‑facing role requiring deep Databricks expertise, strong architecture skills, and the ability to guide engineering and data teams.

Key Responsibilities
  • Lead the architecture and delivery of enterprise Databricks Lakehouse implementations.
  • Design scalable solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, and Databricks Workflows.
  • Provide hands‑on technical leadership for complex Databricks data engineering projects.
  • Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost.
  • Design and implement enterprise ETL/ELT pipelines using Databricks, Spark, Python, and SQL.
  • Establish Unity Catalog governance, security, access controls, and data management practices.
  • Support migration and modernization of legacy data platforms to Databricks Lakehouse.
  • Implement CI/CD and Dev Ops practices for Databricks deployments.
  • Partner with data science teams on MLflow, MLOps, machine learning, and GenAI/LLM workloads.
  • Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues.
  • Conduct architecture workshops and advise customers on Databricks best practices and roadmap.
  • Mentor engineering teams and serve as a trusted technical advisor to customer stakeholders.
Required Qualifications
  • 7+ years of experience in data engineering, data architecture, or cloud data platforms.
  • 3+ years of hands‑on Databricks experience with multiple enterprise implementations.
  • Strong expertise in:
    Databricks Lakehouse Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows/Jobs, Databricks SQL, ETL/ELT and data engineering.
  • Strong Python, SQL, and PySpark skills.
  • Experience with Azure Databricks, AWS Databricks, or Databricks on Google Cloud Platform.
  • Strong understanding of Spark performance tuning and distributed processing.
  • Experience with CI/CD, MLOps, and MLflow.
  • Experience with Databricks governance, security, and data architecture.
  • Strong customer‑facing consulting, communication, and presentation skills.
  • U.S. work authorization without current or future visa sponsorship.
Preferred Qualifications
  • Databricks Certified Data Engineer Professional certification.
  • Databricks Solutions Architect certification.
  • Experience with Generative AI, LLMs, Vector Search, Model Serving, and Mosaic AI.
  • Experience with Structured Streaming and real‑time data processing.
  • Experience migrating enterprise data warehouses/data lakes to Databricks.
  • Experience in consulting or professional services environments.
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