SoftServe
SoftServe
New

BigData Architect (Databricks + Azure)

Brak informacji o wynagrodzeniu
SeniorFull-time
#455933·Dodano wczoraj·1
Źródło: nofluffjobs.com
Aplikuj teraz

Tech Stack / Keywords

DatabricksAnalytics platformApache KafkaAzure Event HubUNITYAzure CloudSQLAzure DataADLSAzure Data FactoryFabricAzure SQLPythonData engineering

Wymagania

  • Proven experience as a Data Architect with hands-on expertise in enterprise-scale Data & Analytics platforms
  • Strong experience designing Databricks-based architectures and data solutions within Azure cloud environments
  • Hands-on experience with Databricks technologies, including Delta Lake, Unity Catalog, Workflows, Jobs, and SQL Warehouses
  • Strong knowledge of Azure data services such as ADLS Gen2, Azure Data Factory, Microsoft Fabric, Azure SQL, and related technologies
  • Advanced SQL and Python skills with practical experience in data engineering and analytics workloads
  • Experience with streaming and real-time architectures using Apache Kafka, Azure Event Hub, and Databricks Structured Streaming
  • Experience participating in customer-facing and pre-sales activities, including workshops, architecture discussions, and solution presentations
  • Knowledge of data governance concepts and implementation using Unity Catalog
  • Upper-intermediate or higher level of English

Obowiązki

  • Design and support the implementation of large-scale Data & Analytics platforms using Databricks and Azure technologies
  • Translate business and technical requirements into scalable solution architectures and implementation approaches
  • Collaborate with customers, delivery teams, and stakeholders during discovery workshops, architecture discussions, and solution planning sessions
  • Support pre-sales activities including technical proposals, architecture presentations, demos, and solution assessments
  • Participate in defining migration strategies, high-level estimates, Statements of Work (SoW), and roadmap proposals
  • Design and maintain scalable batch and streaming data architectures using Databricks and Azure services
  • Support implementation of streaming and real-time data processing solutions using Apache Kafka, Azure Event Hub, and Databricks Structured Streaming
  • Contribute to establishing and maintaining data governance practices using Unity Catalog, including access control, lineage, and auditing
  • Participate in the full project lifecycle, from discovery and PoC phases to MVP and production implementation
SoftServe

SoftServe

9 aktywnych ofert

Zobacz wszystkie oferty
Aplikuj teraz