Senior Data Architecture Specialist

1 week ago

Nashik, Maharashtra, India beBeeData Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
About the Role

This key position involves leading the modernization of the financial data platform, ensuring accuracy, transparency, and scalability for a rapidly evolving business.

  • Job Responsibilities:
    • Design and implement enterprise-grade data warehouse solutions in Snowflake to ensure scalability, reliability, and performance for finance and accounting use cases.
    • Develop and maintain robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems.
    • Collaborate directly with Finance leaders to understand business drivers, risks, and reporting requirements; ensure technical solutions meet real-world business needs.
    • Translate complex accounting concepts into technical designs and data flows to drive insights, compliance, and long-term growth.
    • Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
Requirements

To succeed in this challenging role, you will need:

  • Bachelor's or master's degree in engineering, Information Technology, Computer Science, or related field.
  • No less than 12 years of professional experience in data engineering or data platform roles, with a strong emphasis on financial data systems.
  • 5+ years working with Snowflake (or equivalent MPP systems), with deep expertise required.
  • 3+ years using dbt for data modeling, transformation, and governance in enterprise-scale environments.
  • Strong SQL skills, with the ability to design efficient queries, stored procedures, and performance-tuned models.
  • Demonstrated business acumen with ability to map financial processes to technical solutions.
  • Proven record of leading teams/projects, mentoring developers, and driving cross-functional delivery.
  • Experience with CI/CD, Git-based workflows, and DevOps practices.

This is an excellent opportunity for someone who is passionate about shaping next-generation financial data architecture.

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