SoftServe

BigData Architect (Databricks + Azure)

Brak informacji o wynagrodzeniu

SeniorZdalnie·WrocławFull-time

#455933·Dodano 23 dni temu·5

Źródło: nofluffjobs.com

Aplikuj teraz

Tech Stack / Keywords

DatabricksAnalytics platformApache KafkaAzure Event HubUNITY Azure Cloud SQLAzure DataADLSAzure Data FactoryFabricAzure SQL PythonData engineering

Podsumowanie oferty

In this role, you will contribute to designing and shaping enterprise-scale Data & Analytics solutions built on the Databricks Lakehouse Platform within Azure environments. You will work closely with technical and business stakeholders, supporting architecture activities, pre-sales engagements, and delivery planning. The position focuses on modernizing and scaling data platforms using cloud-native technologies.

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

7 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz