We are seeking a highly experienced Data Architect with strong expertise in Azure, .NET/C#, modern data warehousing, and distributed data processing. The ideal candidate will be responsible for designing scalable data architectures, data models, and end‑to‑end data pipelines supporting enterprise analytics, reporting, and data-driven applications.

Key Responsibilities

• Design and architect end‑to‑end data platforms leveraging Azure cloud services, big data frameworks, and modern data warehouse technologies.
  
• Develop enterprise-grade data models using 3NF, star schema, and snowflake structures.
  
• Define data architecture standards, best practices, and governance guidelines.
  
• Build scalable ETL/ELT pipelines using tools like Azure Data Factory (ADF), Informatica, Talend, dbt, and cloud-native services.
  
• Partner with engineering teams to develop data ingestion, transformation, and processing workflows in C#, .NET, Python, and SQL.
  
• Implement distributed data processing frameworks leveraging Spark, Databricks, Kafka, Hadoop, or Delta Lake.
  
• Design and optimize cloud‑based modern data warehousing solutions (e.g., Snowflake, Databricks, Synapse, BigQuery).
  
• Ensure data quality, security, lineage, and metadata management across all data layers.
  
• Collaborate with business stakeholders, data engineers, solution architects, and analytics teams to ensure scalable and accurate data delivery.
  
• Evaluate and recommend new technologies, tools, and patterns to enhance the data ecosystem.
  
  

Requirements

• Cloud & Programming
  
• Strong experience with Azure data and storage services (Azure Data Lake, Synapse, Databricks, Azure SQL, ADF).
  
• Programming expertise in C#, .NET, Python, and SQL.
  
• Data Modeling
  
• Expertise in:
  

• 3rd Normal Form (3NF)
  
• Star schema
  
• Snowflake schema
  
• Hands-on experience designing conceptual, logical, and physical data models.
  
• ETL/ELT & Data Integration
  

• Experience with:
  

• ADF
  
• Informatica
  
• Talend
  
• dbt
  
• Cloud-native transformation frameworks (Databricks SQL/PySpark)
  
• Modern Data Warehousing & Big Data
  

• Strong experience with:
  

• Snowflake
  
• Databricks (Delta Lake)
  
• Azure Synapse Analytics
  
• Google BigQuery
  
• Exposure to big data ecosystems:
  
• Spark
  
• Kafka
  
• Delta Lake
  
• Hadoop/HDFS
  
• Data Processing & Architecture
  

• Experience with batch/streaming data pipelines.
  
• Knowledge of data governance, cataloging, and master data management concepts.
  
• Understanding of distributed computing principles and performance tuning.
  

Preferred Qualifications

• Certifications in Azure Data Engineering/Architecture (e.g., DP‑203, AZ‑305).
  
• Experience working with enterprise-scale data platforms in BFSI or regulated industries.
  
• Exposure to BI/reporting (Power BI, Tableau) is a plus.
  

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.