Engineering Manager, Data Engineering

Summary:

Mapfre is seeking a highly motivated and experienced Engineering Manager, Data Engineering to lead the design, development, and operation of enterprise-scale data platforms and data products that power analytics, AI, reporting, regulatory compliance, and business decision-making.

This leader will manage a team of Data Engineers and Technical Leads responsible for delivering high-quality, scalable, secure, and reliable data solutions. The Engineering Manager will partner closely with Data Product Managers, Architects, Business Stakeholders, and Corporate Data Platform teams to deliver business value while advancing MAPFRE's Data maturity and transformation strategy.

The successful candidate will drive engineering excellence, operational reliability, talent development, and innovation while supporting strategic initiatives.

Responsibilities:

Engineering Leadership

• Lead and mentor a team of Data Engineers and Platform Engineers.
• Establish a culture of engineering excellence, ownership, collaboration, innovation, and continuous improvement.
• Develop team capabilities through coaching, technical mentorship, career development, and succession planning.
• Foster a high-performance, psychologically safe, and inclusive engineering culture.

Delivery & Execution

• Own the successful delivery of enterprise data solutions and data products.
• Manage engineering capacity, sprint commitments, dependencies, risks, and delivery timelines.
• Partner with Data Product Managers to translate business requirements into scalable technical solutions.
• Ensure predictable and high-quality delivery.
• Drive reduction of technical debt while balancing business priorities. 

Data Platform & Architecture

• Lead engineering efforts across the MAPFRE data ecosystem including:
  • Data Platform
  • Snowflake
  • AWS Services
  • Streaming and CDC Pipelines
  • Data Warehousing & Lakehouse Architectures
  • Data Observability
• Collaborate with Architecture Team, Application teams and the Data Architecture teams to ensure alignment with enterprise standards.
• Promote reusable frameworks, automation, and engineering best practices.
• Retire legacy platform

Operational Excellence

• Advance DataOps and FinOps maturity across engineering teams.
• Implement CI/CD, Infrastructure as Code, automated testing, monitoring, observability, and operational controls.
• Improve reliability, scalability, recoverability, and performance of data products and pipelines.
• Define and manage engineering KPIs and service-level objectives.
• Key focus areas include:
  • Automated deployments
  • Data observability
  • Pipeline monitoring
  • Cost optimization (FinOps)
  • Self-healing data pipelines
  • Operational dashboards

Data Quality & Governance

• Partner with Data Governance, Data Product Management, and Business stakeholders to improve trust in enterprise data.
• Ensure engineering solutions support:
  • Data lineage
  • Data quality controls
  • Regulatory compliance
  • Metadata management
  • Data product registration and discoverability
• Support Mapfre's "Governance by Design" principles.

Stakeholder Management

• Build strong relationships with business partners, product teams, analytics teams, and corporate platform teams.
• Communicate engineering priorities, progress, risks, and accomplishments to technical and executive audiences.
• Serve as a trusted advisor on technology strategy and solution delivery.
• Balance strategic objectives with operational commitments.

Qualifications:

• Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. Master's Degree preferred.
• 8+ years of Data Engineering, Software Engineering, or Platform Engineering experience.
• 3+ years leading engineering teams.
• Experience building and supporting enterprise-scale cloud data platforms.
• Experience managing Agile delivery teams.
• Experience delivering data products and analytics solutions. 

Technical Expertise

• Strong experience with:
  • AWS
  • Snowflake
  • SQL
  • Python
  • Data Warehousing
  • Lakehouse Architectures
  • Data Modeling
  • CI/CD
  • GitHub Actions
  • ETL / ELT Engineering
  • Data Observability
    
    
• Preferred experience:
  • DBT
  • Apache Iceberg
  • Airflow
  • Starburst
  • Kafka
  • Guidewire ecosystem
  • AI/ML Platforms
  • MLOps Concepts

Why Mapfre?

As a global insurance leader with a strong local presence, we offer more than a job — we provide a purpose-driven career where your growth, well-being, and impact truly matter.

Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.

Comprehensive Benefits: Enjoy competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts.

Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.

Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

Salary Range

$100,000 - $152,000

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.

We are proud to be an equal opportunity employer.