Lead Data Engineer

🔥 15 hours ago

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Logo of Walker & Dunlop

Walker & Dunlop

1001 - 5000 employees

Founded 1937

💸 Finance

🏠 Real Estate

💰 $18M Post-IPO Equity on 2019-09

Finance • Real Estate

Walker & Dunlop is a leading provider of commercial real estate finance and advisory services. With over 85 years in business, the company has become one of the largest commercial real estate finance providers in the United States, offering a broad range of services including investment sales, loan servicing, and valuations. Walker & Dunlop also provides data-driven valuation and advisory services, leveraging their extensive network of capital sources and market insights to serve a wide array of property types such as multifamily, industrial, and retail. The company's approach combines large corporate capabilities with a boutique feel, supported by its robust technological infrastructure and diverse, experienced team.

📋 Description

• Define and maintain architectural standards for the enterprise data platform, including data modeling, pipeline design, orchestration, and observability practices. • Lead the Technical Design Document (TDD) process, including authoring, reviewing, and approving technical designs for complex initiatives. • Conduct design reviews and production readiness reviews across Data Engineering teams. • Guide the evolution of the core data platform stack, including Redshift, Airflow, Kafka, SQL Server, and Aurora PostgreSQL. • Establish and promote engineering standards related to code quality, testing, CI/CD, documentation, and release management. • Identify and help address technical debt, platform fragmentation, scalability concerns, and reliability improvements. • Partner with Engineering Managers and teams on technical planning, solution design, and implementation approaches. • Mentor and coach engineers on architecture, engineering best practices, and technical leadership skills. • Serve as a technical point of contact for cross-functional stakeholders on platform capabilities, integrations, and data architecture patterns. • Support evaluation and adoption of new tools, frameworks, and technologies related to data engineering, transformation, quality, and governance.

🎯 Requirements

• Bachelor’s degree preferred, preferably in Computer Science, Engineering, or a related field, or equivalent practical experience. • 8+ years of experience in data engineering, including experience serving as a technical lead or senior individual contributor across multiple teams or initiatives. • Strong experience building and supporting cloud-native data platforms within AWS environments. • Experience with modern data engineering tools and technologies including Airflow, Kafka, Redshift, PostgreSQL, or similar platforms. • Experience implementing CI/CD practices, automated testing, and production support processes for data pipelines and platforms. • Familiarity with enterprise data warehouse technologies and data transformation frameworks preferred. • Commercial real estate, financial services, or regulated industry experience preferred.

🏖️ Benefits

• Up to 83% subsidized medical payroll deductions • Competitive dental and vision benefits • 401(k) + match • Pre-tax transit and commuting benefits • A robust health and wellness program – earn cash rewards and gain access to resources that promote health, engagement, and balance • Paid maternity and parental leave, as well as other family paid leave programs • Company-paid life, short and long-term disability insurance • Health Savings Account and Healthcare and Dependent Care Flexible Spending • Career development opportunities • Empowerment and encouragement to give back – volunteer hours and donation matching

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