Databricks Solution Architect
Role Overview
Hands-on Senior Consultant and Databricks Solution Architect role focused on Lakehouse data and AI solutions.
The role involves designing, developing, and operationalizing enterprise Databricks architectures.
The position is described as a contract role with remote work or client-site flexibility within the region.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on Senior Consultant and Databricks Solution Architect role focused on Lakehouse data and AI solutions.
The role involves designing, developing, and operationalizing enterprise Databricks architectures.
The position is described as a contract role with remote work or client-site flexibility within the region.
Key responsibilities
- Design and implement scalable pipelines using Delta Live Tables, Spark SQL, Python, or Scala.
- Optimize ETL, streaming, and ML workloads for performance, cost, and reliability.
- Administer Databricks Workspaces, Unity Catalog, and cluster policies.
- Automate infrastructure and deployments with Terraform, Git, and CI/CD.
- Implement observability, cost optimization, and monitoring with tools such as Splunk, Prometheus, or CloudWatch.
- Build AI and LLM solutions with customers using MLflow, DBRX, and Mosaic AI.
- Own implementation tasks, lead technical delivery, and mentor engineering teams.
- Apply best practices across data engineering, governance, and AI.
Required skills and experience
- Strong hands-on Databricks experience covering workspaces, notebooks, clusters, and job orchestration.
- Expertise in Delta Lake, Delta Live Tables, Unity Catalog, and SQL Warehouses.
- Proficiency in Python or Scala for data engineering and ML workflows.
- Strong understanding of AWS, Azure, or GCP cloud ecosystems.
- Experience with Terraform automation, DevOps, and MLOps.
- Familiarity with monitoring and governance frameworks for large-scale data platforms.
Preferred skills
- AI or LLM pipeline and RAG architecture experience on Databricks is a plus.
- Exposure to Bedrock, OpenAI, or Hugging Face integrations is a plus.
- Databricks certifications are preferred.
Workplace and engagement
- The posting metadata identifies the role as remote in India.
- The description states that the contract is based in Singapore and may involve client-site work or remote work within the region.
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