Engineering Manager, Data Engineering
Mapfre · Webster, MA · Yesterday
Information Technology$100k–$152k/yrFull-time
Responsibilities
- 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.
- 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.
- Retail 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.
- 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.
- 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