Software Architect - Databricks

160 - 190 PLN/ mies.B2B (netto)
SeniorFull-time·B2B
#336825·Dodano dziś·0
Źródło: theprotocol.it
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Tech Stack / Keywords

Databricks LakehouseAzure Cosmos DBAWSMLOpsPythonREST Api

Firma i stanowisko

At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.


Wymagania

  • Cloud: Azure Databricks or AWS Databricks with native identity integration (Azure AD/AWS IAM).
  • Databricks platform: Runtime ML, Mosaic AI, Model Serving, MLflow, Unity Catalog, Delta Lake, Feature Store, AutoML, Databricks Workflows, Databricks SQL.
  • Data processing: Structured Streaming for real-time pipelines and Delta Lake for ACID storage, time travel, and reliability.
  • Languages and APIs: Python with Databricks-native libraries, Databricks REST APIs and SDK.
  • Frontend: React-based dashboard integrated with Databricks SQL for monitoring and human-in-the-loop controls.
  • Security and compliance: Encryption in transit/at rest, enterprise governance with Unity Catalog, and SOC 2/GDPR aligned controls.
  • Monitoring and operations: Native Databricks monitoring, custom alerting, performance dashboards, and A/B testing frameworks.
  • Deployment and MLOps: Auto-scaling model endpoints, MLflow Model Registry, automated retraining pipelines, and blue-green deployments.

Obowiązki

  • Lead the end-to-end architecture of a Databricks-centric multi-agent processing engine leveraging Mosaic AI, Model Serving, MLflow, Unity Catalog, Delta Lake, and Feature Store for decoder automation at scale.
  • Design governed data ingestion, storage, and real-time processing using Delta Lake, Structured Streaming, and Databricks Workflows with enterprise security and full lineage.
  • Own the model lifecycle with MLflow: experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines.
  • Architect low-latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning.
  • Establish robust data governance with Unity Catalog across all environments.
  • Drive performance and cost optimization
  • Define production release strategies (blue-green), monitoring and alerting, operational runbooks, and SLOs for dependable operations.
  • Partner with engineering, MLOps, and product to deliver human-in-the-loop workflows and dashboards using Databricks SQL and a React frontend.
  • Lead change management, training, and knowledge transfer while managing a parallel shadow-processing path during ramp-up.
  • Plan and coordinate phased delivery, success metrics, and risk mitigation across foundation, agent development, automation, and production rollout.
SQUARE ONE RESOURCES sp. z o.o.

SQUARE ONE RESOURCES sp. z o.o.

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