Expert Data Architect

23 hours ago

Delhi, Delhi, India beBeeData Full time ₹ 1,84,13,000 - ₹ 2,42,87,000
Senior Data Architecture Expert

We are seeking a highly skilled Data Modeler/Architect to lead the design and implementation of robust data architectures in the financial payments industry.

The ideal candidate will have extensive expertise in SQL, data modeling, ETL/ELT pipeline development, and cloud-based data platforms such as Databricks or Snowflake.

Main Responsibilities:
  • Design and implement logical and physical data models to support transactional, analytical, and reporting systems.
  • Develop and manage scalable ETL/ELT pipelines for processing large volumes of financial transaction data.
  • Tune and optimize SQL queries, stored procedures, and data transformations for maximum performance.
  • Build and manage data orchestration workflows using tools like Airflow, Dagster, or Luigi.
  • Architect data lakes and warehouses using platforms like Databricks, Snowflake, BigQuery, or Redshift.
  • Ensure adherence to data governance, security, and compliance standards (e.g., PCI-DSS, GDPR).
  • Collaborate closely with data engineers, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Conduct data profiling, validation, and quality assurance to ensure clean and consistent data.
Required Skills:
  • At least 58 years of experience as a Data Modeler, Data Architect, or Senior Data Engineer in the financial/payments domain.
  • Advanced SQL expertise, including query tuning, indexing, and performance optimization.
  • Proficiency in developing ETL/ELT workflows using tools such as Spark, dbt, Talend, or Informatica.
  • Experience with data orchestration frameworks: Airflow, Dagster, Luigi, etc.
  • Strong hands-on experience with cloud-based data platforms like Databricks, Snowflake, or equivalents.
  • Deep understanding of data warehousing principles: star/snowflake schema, slowly changing dimensions, etc.
  • Familiarity with financial data structures, such as payment transactions, reconciliation, fraud patterns, and audit trails.
  • Working knowledge of cloud services (AWS, GCP, or Azure) and data security best practices.
  • Strong analytical thinking and problem-solving capabilities in high-scale environments.

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