Senior Financial Data Architect

2 days ago

Kanpur, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Description:

The Principal Engineer is a pivotal role in shaping next-generation financial data architecture.

This position focuses on leveraging Snowflake, dbt, and modern data engineering practices to build scalable, trusted, and cost-optimized financial data solutions.

You will partner closely with Finance and Accounting stakeholders to transform complex business requirements into robust financial systems that drive insights, compliance, and long-term growth.

  • Architect & Lead Snowflake Solutions: Drive design and implementation of enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.
  • Own dbt Data Modeling: Lead adoption and best practices in dbt for financial data transformations, lineage, and governance.
  • Financial Systems Expertise: Translate complex accounting and financial concepts (e.g., revenue recognition, reconciliations, and double-entry principles) into technical designs and data flows.
  • Business Partnership: Collaborate directly with Finance and Accounting leaders to understand business drivers, risks, and reporting requirements; ensure technical solutions meet real-world business needs.
  • Pipeline Development & Automation: Build and optimize robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems.
  • Data Integrity & Compliance: Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
  • Leadership & Mentorship: Provide technical leadership, mentorship, and guidance across teams, raising the bar for engineering standards, code quality, and delivery practices.
  • Strategic Influence: Clearly communicate platform strategy, trade-offs, and recommendations to senior technical and non-technical stakeholders.
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.
  • Strong SQL expertise, with ability to design efficient queries, stored procedures, and performance-tuned models.
  • Experience partnering with Finance/Accounting teams to implement data solutions supporting financial reporting, reconciliations, and revenue accounting.
  • 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.

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