Senior Data Engineering Leader

1 week ago

Dindigul, Tamil Nadu, India beBeeDataEngineering Full time US$ 1,50,000 - US$ 2,00,000
Senior Data Engineering Leader

We are seeking an experienced Senior Data Engineering Leader to join our team and lead the modernization of our finance data platform.

  • The successful candidate will have a strong background in data engineering, Snowflake, and dbt, with experience in leveraging these technologies to build scalable, trusted, and cost-optimized financial data solutions.

The role involves:

  • Architecting and leading Snowflake solutions to ensure scalability, reliability, and performance for finance and accounting use cases.
  • Driving dbt data modeling to lead adoption and best practices in financial data transformations, lineage, and governance.
  • Providing technical expertise to translate complex accounting and financial concepts into robust data designs and flows.
  • Collaborating directly with Finance and Accounting leaders to understand business drivers, risks, and reporting requirements.
  • Building and optimizing robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems.
Requirements
  • Bachelor's or master's degree in engineering, Information Technology, Computer Science, or related field.
  • 12-15 years of professional experience in data engineering or data platform roles, with strong emphasis on financial data systems.
  • 5+ years working with Snowflake (or equivalent MPP systems), with deep Snowflake exposure required.
  • 3+ years using dbt for data modeling, transformation, and governance in enterprise-scale environments.

This is a highly visible opportunity to shape next-generation financial data architecture and drive insights, compliance, and long-term growth. The successful candidate will partner closely with Finance and Accounting stakeholders to transform complex business requirements into robust financial systems.

The ideal candidate will have strong SQL expertise, with the ability to design efficient queries, stored procedures, and performance-tuned models.

This is a critical leadership role that requires strategic thinking, technical expertise, and collaboration skills. If you are passionate about data engineering and have experience in driving large-scale data projects, we encourage you to apply.

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