Resumo da vaga

Lead Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Define andmaintainarchitectural 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.
  • Identifyand 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.
  • Perform other duties as assigned
  • Bachelor’s degreepreferred, 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.
  • Deepexpertisein SQL, data modeling, and modern data engineering practices.
  • Strong understanding of scalable data platform architecture, orchestration, and operational reliability.
  • Familiarity with data governance, lineage, data quality, and data contract concepts.
  • Experience writing and reviewing technical design documentation and leading technical decision-making processes.
  • Strong understanding of monitoring, observability, and platform health practices for enterprise data systems.
  • Ability to lead technical initiatives and influence engineering standards across distributed teams.
  • Strong communicationand collaboration skills, including the ability to communicate technical concepts to non-technical stakeholders.
  • Ability to show ownership of your work, take on challenges and acknowledge growth opportunities, anddemonstratepatience when learning new processes
  • Courtesy, respect, and thoughtfulness in teaming with colleagues and other stakeholders

Department:

  • The opportunity to join one of Fortune Magazine’s Great Places to Work winners
  • Comprehensive benefit options* that have earned Walker & Dunlop the gold level of the 2025 Cigna Healthy Workforce Designation™, some of which include: - 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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FocoLead Data EngineerÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackAWS, CI/CD, PostgreSQLSkills principais
Localização1 país aceitoElegibilidade

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