Databricks Architect

Title: Databricks Architect

Location: Argentina – Remote

Employment Type: Contract

Overall Tech Stack: Databricks Lakehouse Platform, Apache Spark, Delta Lake, Unity Catalog, and modern cloud data architecture.

Must-Have Skills

• Lakehouse & Medallion Architecture: Design end-to-end data architectures using Bronze, Silver, and Gold layers for reliable, production-ready pipelines.
• Databricks & Spark Internals: Strong understanding of distributed computing, Spark job troubleshooting, and performance tuning using caching, partitioning, and broadcast joins.
• Delta Lake: Knowledge of ACID transactions, schema enforcement, time travel, and optimization techniques such as Z-ordering.
• Unity Catalog & Data Governance: Design unified governance models for data and AI assets, including RBAC, row/column-level security, and data lineage.
• Cloud Infrastructure: Strong knowledge of AWS, Azure, or GCP, including ADLS/Entra, S3/IAM, virtual network configurations, and IAM roles.
• Coding Proficiency: Advanced SQL skills and proficiency in Python or Scala.
• Cost Optimization & Performance Tuning: Monitor DBUs, right-size serverless and multi-node clusters, and optimize cloud costs.

Nice-to-Have Skills

• Databricks Certifications: Databricks Certified Data Architect or Databricks Certified Data Engineer Professional.
• Generative AI & MLflow: Experience with GenAI applications, ML models, Databricks Model Serving, Vector Search, and Mosaic AI.
• CI/CD & DevOps: Experience with Git, Databricks Repos, dbt, Azure Data Factory, or Apache Airflow.
• Streaming Data: Knowledge of Databricks Structured Streaming and Auto Loader.
• Data Warehousing & BI: Experience with Databricks SQL, Serverless Warehouses, and BI tools such as Power BI.