Title – Microsoft Azure data architect
Location – Malvern, US ( Hybrid 3 days)
Key Responsibilities –
Design and Build Data Solutions
Architect modern data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB.
Develop and maintain data pipelines for ingestion, transformation, and storage.
Create data models and schemas to support business intelligence and advanced analytics.
Data Governance and Compliance
Implement data security, privacy, and compliance measures.
Establish governance frameworks for data quality and lifecycle management.
Collaboration and Leadership
Work closely with business stakeholders, data scientists, and engineering teams to align architecture with business goals.
Provide technical leadership, mentoring, and best practices for data engineering teams.
Performance and Optimization
Monitor system performance and troubleshoot issues.
Optimize architecture for cost efficiency, scalability, and high availability.
Innovation and Enablement
Stay updated on emerging Azure technologies and trends.
Conduct workshops and enablement sessions to drive adoption of Azure data solutions.
Required Skills and Experience -
Technical Expertise
Strong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI.
Experience with data modeling, ETL design, and data warehousing.
Knowledge of SQL, NoSQL, PySpark, and BI tools.
Architecture and Strategy
7+ years in data architecture roles; 3+ years with Azure data solutions.
Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools.
Soft Skills
Excellent communication and stakeholder management.
Ability to lead cross-functional teams and influence technical decisions.
Preferred
Experience in regulated industries (e.g., Financial Services).
Knowledge of Microsoft Fabric, Generative AI, and RAG-based architectures.
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