Lead, Enterprise Data Integration Engineering

DPR Construction

Palo Alto (CA)

In loco

USD 117.000 - 200.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Medical benefits
Wellness programs

Descrizione del lavoro

DPR Construction is seeking a senior leader to drive enterprise data integration initiatives across applications, data warehouses, data lakes, and analytics platforms. You will lead a team, define pipelines, ensure governance, and align with analytics and data strategy, managing performance and delivery across portfolios.

The role requires 7+ years in data engineering or integration, 3+ years in team management, and a focus on secure, scalable data movement with governance and compliance

Competenze

  • Bachelor's degree in CS, IS, data engineering or related field required.
  • 7+ years in data engineering or systems integration; 3+ years in people management.
  • Cloud architecture or advanced data engineering certification preferred.

Mansioni

  • Leads and manages the Integration Engineering team, including performance management and coaching.
  • Oversees development and maintenance of enterprise integration pipelines and data transformation workflows.
  • Sets operational standards for data mapping, transformation, observability, and performance optimization.

Conoscenze

Team leadership
Performance management
Coaching
Data engineering
DevOps practices

Formazione

Bachelor’s degree in computer science, information systems, data engineering, or related field

Strumenti

CI/CD
Cloud platforms

Descrizione del lavoro

DPR Construction is seeking a senior leader to drive enterprise data integration initiatives across applications, data warehouses, data lakes, and analytics platforms. You will lead a team, define pipelines, ensure governance, and align with analytics and data strategy, managing performance and delivery across portfolios.

The role requires 7+ years in data engineering or integration, 3+ years in team management, and a focus on secure, scalable data movement with governance and compliance

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