Chief Data Engineer

1 week ago

Hyderabad, Telangana, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

We are seeking a skilled Data Architect to play a pivotal role in shaping next-generation financial data architecture.

This role is focused 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 Data Solutions:

Drive design and implementation of enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.


Data Modeling Expertise:
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; 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.

Clearly communicate platform strategy, trade-offs, and recommendations to senior technical and non-technical stakeholders.

Requirements:
  • Bachelor's or Master's 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.

Skills:
  • Snowflake
  • SQL
  • Data Engineering / Building Data Pipelines
  • dbt (preferred)

Preferred Qualifications:
  • Background in financial technology solutions aligned with double-entry accounting principles.
  • Familiarity with Snowflake utilities (e.g., Snowpipe, Streams, Tasks) and performance optimization techniques.
  • Exposure to BI tools like Power BI or Tableau for financial reporting and visualization.
  • Knowledge of data governance frameworks and audit/compliance considerations in financial systems.
  • Familiarity with predictive modeling or ML for financial forecasting is a plus.

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