Platform Technology Lead - Data Operations

Job Description

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better.

Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own.

We're actively seeking a talented Platform Technology Lead to join our team in Newport Beach, CA or Omaha, NE. Relocation Assistance may be provided.

• Monitor, troubleshoot, and escape data pipeline issues; perform root cause analysis.
• Set up and maintain monitoring dashboards, alerts, and respond promptly to ensure uptime.
• Manage job schedules, dependencies, and coordinate fixes with engineering teams.
• Oversee user access, permissions, and audit logs for security and compliance.
• Investigate and resolve data quality issues; communicate with stakeholders and track recurring problems.
• Maintain documentation, runbooks, and onboarding materials for incident response and knowledge sharing.
• Coordinate, validate, and monitor platform/data changes; communicate updates or rollbacks.
• Provide user support, respond to queries, communicate outages, and deliver training.
• Support audits and compliance by maintaining documentation and tracking metrics.
• Use SQL, Python, Tableau, Snowflake, and automation tools to improve operations.
• Enforce data governance standards and document methodologies for transparency.
• Work with internal and external teams for secure, scalable integrations and data flows.
• Enhance observability and proactively address data issues using Splunk, Grafana, and Data Dog.
• Identify and implement improvements for reliability, latency, and cost-efficiency.
• Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner.
• Align data operations with business strategy through close collaboration with leaders, delivery teams, and vendors.
• Build scalable & reliable solutions with robust security, quality, performance and governance protocols.
• Deliver solutions aligned with modern target state architecture and cloud-based technologies.
• Create and maintain high-level and detailed design artifacts that support data engineering solutions.
• Lead creation and maintenance of automated and scalable test, build and deploy workflows aligned with modern CI/CD practices.
• Promoting a culture of continuous improvement and agile methodologies.
• Lead code reviews to ensure data engineering standards and best practices are followed.
• Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working.

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 5+ years of experience in data operations, with at least 3 years in a lead capacity.
• Deep understanding of SaaS platforms, data architecture, and integration frameworks.
• Experience with data governance, compliance, and security best practices.
• Ability to support non-business hours for major incidents.
• Proficiency in ETL/ELT and big data tools.
• Proficiency in tools such as Snowflake, Postgre
  
  SQL, ADO, Control-M, Splunk, SQL, Python, and CI/CD frameworks.
• Proficiency in development languages such as JSON, Python, SQL and Java.
• Experience with AWS Services.
• Strong analytical, problem-solving, and communication skills.
• Vendor management.

• Expertise with EIS or equivalent policy administration systems, demonstrating advanced knowledge beyond general platform or data operations.
• Hands‑on experience in Agile or SAFe environments, contributing to dynamic and adaptive team cultures.
• Proven ability to influence and lead cross‑functional teams, especially within complex, matrixed organizations.
• Prior work experience in the insurance or workforce benefits industry, bringing industry‑specific insights and…