Pacific Life

VP, Data Architect

Pacific Life

full-time

Posted on:

Location Type: Hybrid

Location: CharlotteNorth CarolinaUnited States

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Salary

💰 $250,000 - $300,000 per year

Job Level

About the role

  • Set the direction and vision for technologies supporting various business units at Pacific Life
  • Manage architecture, design, development, and implementation of data solutions
  • Guide a team of data architects and work with data engineers, data analysts, and data scientists
  • Establish and enforce data architecture defined patterns, tools, and technologies
  • Participate in troubleshooting data environment issues and provide expertise for root cause analysis and resolution
  • Lead efforts to integrate diverse data sources ensuring data consistency and quality
  • Oversee assessment and migration of legacy data systems to modern cloud platforms

Requirements

  • Bachelor’s degree or higher in computer science, engineering, mathematics, or related field
  • Minimum of 10 years of experience in data architecture, data management, data engineering, data analysis, or data science roles
  • Ability to design and implement data architectures that support business goals
  • Knowledge of data technologies and platforms such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP
  • Solid understanding of data architecture/data engineering concepts including data modeling, data warehousing, data integration, data pipeline, data lake, data quality, and data security
  • Experience in designing and building data solutions that use advanced analytics and machine learning
  • Outstanding communication, presentation, and leadership skills
Benefits
  • Medical, Dental, Vision, and Wellbeing Reimbursement Account
  • Paid Time Off, Holiday Schedules, and Financial Planning Time Off
  • Paid Parental Leave and Adoption Assistance Program
  • Competitive 401k savings plan with company match and additional contribution
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata managementdata engineeringdata analysisdata sciencedata modelingdata warehousingdata integrationdata pipelinedata quality
Soft Skills
communicationpresentationleadership