Director – Data Engineering

🕒 May 7

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Amazon Redshift

Azure

BigQuery

Cloud

ETL

Python

SQL

Tableau

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Logo of Waylin Partners

Waylin Partners

11 - 50 employees

Founded 2022

💸 Finance

💳 Fintech

🤝 B2B

Finance • Fintech • B2B

Waylin Partners is a company dedicated to transforming private equity portfolio companies into data-driven organizations throughout the investment life cycle. They offer a full suite of CFO solutions, which include strategic financial planning and analysis, data analytics, technical accounting services, and performance improvement initiatives. With a focus on lean teams and execution-driven results, Waylin Partners empowers clients to achieve sustainable growth and operational excellence by providing tailored insights and support during key transitional periods.

📋 Description

• 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 • Proficiency in Python or another scripting language is a plus • Experience working with finance, accounting, or operational data strongly preferred • Excellent communication skills with the ability to work directly with stakeholders and translate technical concepts into business impact.

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