1155 Senior Data Architect (Azure / Databricks / Cosmos DB)

We are seeking a highly experienced Senior Data Architect with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions.

This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices.

• →Design and own enterprise-scale data platform architectures on Azure.
• →Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality.
• →Define and implement modern data platform architectures using Azure services and Databricks.
• →Design reusable and metadata-driven data ingestion frameworks.
• →Architect and optimize structured and unstructured data processing solutions.
• →Design and maintain scalable data models and analytical platforms.
• →Define both tactical improvements and long-term target-state architectures.
• →Create architecture documentation, technical specifications, and implementation guidelines.
• →Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions.
• →Establish best practices for data governance, architecture standards, data quality, and platform reliability.
• →Support engineering teams during implementation and architecture adoption.

• Proven experience as a Data Architect with end-to-end architecture ownership.
• Strong hands-on experience with the Azure Data Platform.
• Minimum 4 years of recent Azure experience.
• Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks
• Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms
• Advanced SQL and Python skills.
• Experience designing and implementing large-scale cloud data solutions.
• Strong experience working with both structured and unstructured data.
• Excellent communication and stakeholder management skills.

The successful candidate should demonstrate deep knowledge of:

• Synapse Pipelines
• Spark Pools
• Serverless SQL
• Dedicated SQL Pools
• Workload optimization and architecture design
• Data lake integration patterns
• Large-scale analytical platforms

Hands-on experience with:

• Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures

• Strong architecture ownership and decision-making experience.
• Experience modernizing and improving existing data platforms.
• Ability to quickly assess complex environments and provide actionable recommendations.
• Experience designing reusable and scalable ingestion frameworks.
• Deep understanding of structured and unstructured data processing.
• Strong data modeling experience for enterprise analytics platforms.
• Ability to balance short-term business needs with long-term architectural vision.
• Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost.
• Experience producing implementation-ready architecture deliverables.

• Lakehouse architecture experience.
• Experience with AI-driven analytics solutions.
• Data governance and compliance experience.
• Experience supporting enterprise reporting and analytics environments.
• Knowledge of modern cloud-native architecture patterns.

• Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling