Data Architect

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.