below marketmost similar roles pay hereabove market
This role pays more than
51%
of similar roles. Most pay
$126,800–$213,125
— the blue band above.
At the midpoint, this role pays about
$169k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About Pacific Life
Pacific Life is a life insurance company offering a wide range of life insurance, annuity, and investment products and services to individuals, businesses, and pension plans. Industry: Life Insurance & Annuities
Pacific Life currently has
62 open roles
on FindRole.
Listed pay typically runs
$138,150–$168,850
across 35 roles with salary data.
The Data Engineering Leader joins the Workforce Benefits Team to own the strategy, lifecycle, and operational performance of division data products. Reporting to the Head of Data Engineering, this leader manages a team of engineers and analysts to build secure, scalable data pipelines, infrastructure, models, marts, and real-time data solutions. Key responsibilities include translating stakeholder needs into agile backlogs, providing technical direction for architecture and design, and ensuring data quality, security, and HIPAA-regulated privacy standards. The role requires proficiency in SQL, Python, Snowflake, and dbt, alongside experience with RESTful APIs and microservices. The position addresses complex insurance data domains including Distribution, Product, Underwriting, Enrollment, Finance, Billing, and Claims to support reporting, analytics, and critical business decision-making.
Own the vision, roadmap, lifecycle, and delivery of Workforce Benefits Division data products.
Translate stakeholder requirements into prioritized agile backlogs and sequenced delivery plans.
Provide technical leadership for the architecture and optimization of secure, scalable data pipelines and real-time solutions.
Ensure data quality, security, privacy, and governance standards are embedded throughout all data deliveries.
Lead day-to-day execution including release readiness, quality assurance, production support, and root-cause resolution.
Build and lead a high-performing team through recruiting, coaching, development, and performance management.
Establish and monitor KPIs for data-product delivery, quality, and business value to manage risks and resources.
Manage and forecast department expenses, software costs, and vendor service agreements.
What we're looking for
Bachelor's degree in Computer Science or a related field.
Master's degree (preferred).
10+ years of experience delivering enterprise data products, data warehouses, data integrations, and enterprise data architecture.
5+ years leading a data engineering team at the Director level or equivalent, including people leadership, resource planning, and budget accountability.
5+ years of hands-on experience with data warehouses, advanced analytics, and cloud-based data engineering.
Demonstrated experience with agile product ownership, backlog management, technical requirements, delivery metrics, and cross-functional stakeholder leadership.
Proficiency in SQL and Python and experience with semantic layers, ontology, and reference data management (preferred).
Experience with Snowflake, dbt, RESTful APIs, event-driven integration, and insurance data domains (preferred).
Data Engineering
ETL
AWS
Azure
AI/ML
Data Pipelines
Data Governance
Data Normalization
Dashboards
Metrics
Exploratory Analysis
Feature Development
IoT
Machine Learning
Python
SQL
Java
NoSQL
Azure
AWS
OCI
Data Engineering
Data Governance
Data Pipelines
Agentic AI
Lakehouse Architecture
Real-time Streaming
APIs
Data Quality