Databricks Architect
Openkyber
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 DevOps 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.
- 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.
- 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.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 4 days ago
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