Big Data Architect (Databricks + Azure)

About The Role 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 while helping organizations modernize and scale their data platforms using cloud-native technologies.

Responsibilities

• Design and support 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 by contributing to 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

Requirements

• 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

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.