Data Architect + AI
Job in
Jacksonville, Duval County, Florida, 32099, USA
Listing for:
Turtle Trax S.A.
Full Time
position
Listed on 2026-11-05
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Overall Stack:
Databricks Lakehouse Platform, Apache Spark, Delta Lake, Unity Catalog, and modern cloud data architecture
- Lakehouse & Medallion Architecture:
Expertise in designing end-to-end data architectures (Bronze, Silver, Gold layers) for reliable, production-ready pipelines - Databricks & Spark Internals:
Deep understanding of distributed computing. They must know how to troubleshoot and tune large-scale Spark jobs using caching, partitioning, and broadcast joins - Delta Lake:
Must understand ACID transactions, schema enforcement, time travel, and optimization operations like Z-ordering - Unity Catalog & Data Governance:
Proven ability to design unified governance models for data and AI assets, including role-based access control (RBAC), row/column-level security, and data lineage - Cloud Infrastructure (AWS, Azure, or GCP):
Strong grasp of the native cloud ecosystem they work in (e.g., ADLS/Entra for Azure, S3/IAM for AWS), including Virtual Network (VNet) setups and IAM roles - Coding Proficiency:
Advanced SQL skills and fluency in Python or Scala - Cost Optimization & Performance Tuning:
Ability to monitor DBUs (Databricks Units), right-size serverless and multi-node clusters, and implement best practices for avoiding cloud bill shock
- Databricks
Certifications:
Candidates holding valid Databricks Certified Data Architect or Databricks Certified Data Engineer Professional badges generally have a proven, up-to-date baseline of the platform's features - Generative AI & MLflow Integration:
Experience building, deploying, and monitoring GenAI applications and ML models using Databricks Model Serving, Vector Search, and the Mosaic AI suite - CI/CD & Dev Ops Practices:
Experience automating Databricks workflows using Git (Databricks Repos) and orchestration tools like dbt, Azure Data Factory, or Apache Airflow - Streaming Data:
Familiarity with Databricks Structured Streaming and Auto Loader for real-time data ingestion and processing - Data Warehousing & BI:
Understanding of Databricks SQL, Serverless Warehouses, and integration with downstream BI tools like Power BI
Remote
Adavenced english
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