Senior Financial Data Architect

2 days ago


Bikaner, Rajasthan, India beBeeDataArchitect Full time ₹ 15,00,000 - ₹ 20,00,000
Job Title

We are seeking a highly skilled Data Architect to join our team.

This role involves designing, building, and maintaining robust data pipelines that handle high-volume financial data.

  • Key Responsibilities:
  • Design and develop end-to-end data pipelines for stocks, crypto, and other financial datasets.
  • Integrate third-party APIs and data feeds into internal systems.
  • Build and optimize data ingestion, storage, and transformation workflows (batch and real-time).
  • Ensure data quality, consistency, and reliability across all pipelines.
  • Collaborate with data scientists, analysts, and backend engineers to provide clean, structured, and scalable datasets.
  • Monitor, troubleshoot, and optimize pipeline performance.
  • Implement ETL/ELT best practices, data governance, and security protocols.
  • Contribute to the scalability and automation of our data infrastructure.
Requirements
  • Proven experience as a Data Architect / Senior Data Engineer in financial or crypto domains.
  • Strong expertise in Python, SQL, and distributed data systems.
  • Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink, Prefect).
  • Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.).
  • Knowledge of API integrations and handling real-time streaming data.
  • Familiarity with databases (relational and NoSQL) and data modeling.
  • Solid understanding of stocks, cryptocurrencies, and financial data structures.
  • Strong problem-solving skills with the ability to handle large-scale data challenges.
About This Role

This is an exciting opportunity to work with cutting-edge technology and contribute to the growth of our data-driven business.

As a Data Architect, you will have the chance to design and implement robust data pipelines, collaborate with cross-functional teams, and drive business outcomes through data insights.



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