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TravelersSenior Data Engineer
Senior Associate Data Engineer contributing to Travelers' analytics landscape by building and operationalizing data solutions. Collaborating with teams to ensure reliable data delivery across the enterprise.
About the role
- Define and implement enterprise data architecture strategies aligned with Watts Water’s digital transformation initiatives.
- Design data models and integration patterns across Azure Fabric, Snowflake, Databricks, and SAP environments.
- Collaborate with cross-functional teams to develop scalable data pipelines and ensure consistent usage of a unified data fabric.
- Optimize data ingestion, storage, and retrieval performance across structured and unstructured datasets.
- Establish best practices for data modeling, lineage, and governance frameworks.
- Partner with business stakeholders to translate analytical and reporting needs into robust architectural solutions.
- Guide the evaluation and adoption of modern technologies supporting AI/ML, advanced analytics, and real-time insights.
- Mentor data engineers and analysts on architecture and data management best practices.
Requirements
- Bachelor’s degree in computer science, Information Systems, or a related field.
- 15+ years of experience in data architecture, data engineering, data lakehouse architecture, streaming data architecture, and enterprise data solutions design.
- Organic career growth in large data ecosystems would be a big plus.
- Expert-level knowledge of Azure platform services, including Azure Fabric and related data tools.
- Strong hands-on experience designing and implementing data solutions in Azure, Snowflake, and/or Databricks.
- Experience integrating SAP data (S/4HANA, or BW) with modern cloud data platforms.
- Deep understanding of ETL/ELT processes, data modeling (Kimball/Inmon), Data quality, and metadata management.
- Working knowledge of data governance, security, and compliance frameworks.
- Proven success leading large-scale data modernization or cloud migration initiatives.
- Mentor junior data engineers and code/design review of team members data deliverables.
Benefits
- Competitive compensation based on your skills, qualifications and experience
- Comprehensive medical and dental coverage, retirement benefits
- Family building benefits, including paid maternity/paternity leave
- 10 paid holidays and Paid Time Off
- Continued professional development opportunities and educational reimbursement
- Additional perks such as fitness reimbursements and employee discount programs
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