Data Architecture Leader

Job Title:
Data Architecture Leader

About the Role:
We are seeking a highly skilled Data Architecture Leader to shape our 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.

Key Responsibilities:
• 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 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 the 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.

Desired Skills:
• Data Engineer OR Data Engineering
• Snowflake
• SQL
• Data Pipelines OR ETL Pipelines OR ELT
• Financial Systems (Fundamental concepts)
• Mentoring and leadership experience with 5+ direct reports; adept at strategic planning and team mentorship.

Nice to Have:
• 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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