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MetLife

# Senior Data Engineer – Databricks & Data Modeling/Architecture

Senior individual contributor Data & Analytics 

Listed on MetLife’s official careers site. Posted November 6, 2026. Check that it is still open and apply there.
[Apply on MetLife’s careers site →](https://www.metlifecareers.com/en_US/ml/JobDetail/Senior-Data-Engineer-Databricks-Data-Modeling-Architecture/21475)

[OpenNash Jobs](https://jobs.opennash.com/) / [MetLife](https://jobs.opennash.com/companies/metlife/) / Senior Data Engineer – Databricks & Data Modeling/Architecture

## Job description

Description and Requirements

### Key Responsibilities
- Design, develop, test, and deploy scalable pipelines using Databricks, PySpark, Spark SQL, and Delta Lake, spanning Bronze/Silver/Gold (medallion) layers for HR data integration and analytics.
- Build data models – logical, physical, dimensional, and integration – and maintain source-to-target mappings for workforce, organization, employee, position, job, and related HR domains.
- Migrate legacy GDC integrations by re-engineering Informatica, SQL, and stored-procedure logic into modern Databricks patterns, including inbound Oracle HCM feeds and outbound HR data files.
- Validate output parity through reconciliation, parallel runs, and source-to-target checks, and build automated data quality, exception handling, and audit controls into pipelines.
- Apply enterprise governance, security, privacy, and role-based access expectations to sensitive HR data, capturing lineage and metadata where applicable.
- Produce production-ready documentation – technical designs, runbooks, data dictionaries, and support handoffs – for maintainable, observable, cost-aware solutions.
- Collaborate within a distributed delivery team, participate in agile ceremonies, mentor junior engineers, and communicate progress, blockers, and risks clearly.

### Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field, with 7+ years of data engineering, ETL, or data platform experience.

### Azure Databricks & Apache Spark
- 3+ years hands-on building Delta Lake pipelines with PySpark, Spark SQL, and SQL across a medallion architecture.

### Data modeling & integration
- Strong logical/physical/dimensional modeling plus source-to-target mapping, reconciliation, and production cutover support.

### AI-assisted engineering
- Proficiency using AI/Copilot tooling to accelerate development, code conversion, and documentation.
- Practical, delivery-focused work style, comfortable turning ambiguous legacy logic into clean target-state designs within a highly governed environment.
- Strong written and verbal communication, with the ability to overlap U.S. Eastern Time for key meetings, design reviews, and issue resolution.

### Preferred Qualifications
- Suggested 3+ years modernizing legacy ETL (Informatica-to-Databricks) or building metadata-driven, configuration-driven data frameworks.

### Azure ecosystem
- Data Lake Storage, Data Factory, DevOps, Azure SQL/Synapse, Unity Catalog, and Git-based CI/CD.

### HR domain data
- Oracle HCM Cloud extracts/PVOs/HDL, workforce analytics, and consumption via Power BI, Crunchr, or similar.
- Experience supporting regulated, sensitive employee data in insurance, financial services, or HR technology.
- Detail-oriented, collaborative, and comfortable working independently against offshore delivery expectations while staying aligned to MetLife leads.

## At a glance
- Posted by the employer: Nov 6, 2026
- First seen by OpenNash: Nov 8, 2026
- Last checked: Nov 8, 2026
- Listed for: 2 days[Apply on MetLife’s careers site →](https://www.metlifecareers.com/en_US/ml/JobDetail/Senior-Data-Engineer-Databricks-Data-Modeling-Architecture/21475)

## Hiring at MetLife
- Open jobs: 420
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 11, 2026

[All MetLife jobs](https://jobs.opennash.com/companies/metlife/) · [Weekly hiring report](/reports/hiring/)

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