Director - Data Engineering

Waylin Partners is a leading provider of FP&A, data, and accounting consulting services, seeking a Data Engineer passionate about building scalable data solutions. The role involves leading data engineering initiatives to modernize reporting, automate processes, and provide reliable data systems for better decision-making across client portfolios.

Responsibilities:

• Design, build, and optimize data warehouses, pipelines, and ETL/ELT processes to support enterprise reporting and analytics
• Translate ambiguous business questions into scalable, data-driven solutions that help leaders make informed decisions
• Develop automated reporting and analytics workflows, ensuring data accuracy, consistency, and timeliness
• Build and maintain dashboards and visualization tools that synthesize complex data for finance and operational leadership
• Partner with finance, accounting, and operational teams across portfolio companies to understand data needs and implement effective solutions
• Implement best practices for data governance, data quality, and system architecture
• Support integration efforts during acquisitions, system migrations, and new tool onboarding
• Designing and deploying a new cloud-based data warehouse (Snowflake, Redshift, BigQuery, etc.)
• Optimizing an existing warehouse or data architecture to improve performance and reduce cost
• Developing enterprise-grade dashboards (Power BI, Tableau, Looker, etc.) for monthly reporting, KPIs, and operational visibility
• Automating reporting processes previously done in Excel or manual systems
• Building financial and operational data models used for forecasting, profitability analysis, or executive dashboards
• Supporting process improvement and system enhancement initiatives across finance, accounting, and operations
• Managing ad-hoc technical projects such as API integrations, data migrations, or master data restructuring

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a quantitative field
• 8+ years of experience in data engineering, analytics engineering, or related roles
• Strong SQL proficiency and experience building ETL/ELT pipelines
• Experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Synapse, etc.)
• Experience with BI tools such as Power BI, Tableau, Looker, or similar
• Excellent communication skills with the ability to work directly with stakeholders and translate technical concepts into business impact
• Proficiency in Python or another scripting language is a plus
• Experience working with finance, accounting, or operational data strongly preferred