Job Description

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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.

Skills Required