About the role

VP Enterprise Data Architect managing scalable data solutions and architecture for Pacific Life. Leading teams and advancing AI-first data ecosystem.

Responsibilities

Manage the data architecture team and provide technical guidance, mentorship, and feedback
Define and execute the data architecture roadmap and vision, in alignment with the data strategy and business objectives
Design and implement data solutions that leverage modern technologies, such as cloud, streaming, and machine learning
Establish and enforce the data architecture defined patterns, tools and technologies
Participate in troubleshooting the data environment issues and incidents and provide expertise to support root cause analysis and resolution
Evaluate and recommend new data tools, technologies, and frameworks, and conduct proof of concepts and pilots with the Data Engineering team
Communicate and present the data architecture strategies and solutions to various audiences
Overseeing the design and implement scalable, cloud-based data architectures, enabling real-time and batch data processing
Lead efforts to integrate diverse data sources (structured, semi-structured, and unstructured)
Collaborate with cross-functional teams to assess and migrate legacy data systems to modern cloud platforms
Stay ahead of emerging data technologies and lead their implementation within the organization
Partner with data engineers, data governance, and business stakeholders to understand their data needs and provide feasible data solutions.

Computer science, engineering, mathematics, or related field bachelor's degree or higher
Minimum of 10 years of experience in data architecture, data management, data engineering, data analysis, or data science roles with demonstrated success in leading and delivering complex data projects
Ability to design and implement data architectures that support business goals and objectives
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 and techniques, such as 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, with the ability to work with and persuade diverse stakeholders
Strong problem-solving, analytical, and critical thinking skills, with the ability to deal with ambiguity and complexity
Enthusiasm for learning and keeping up with the latest developments and innovations in data engineering
Knowledge of data governance frameworks, standards, policies, and best practices
Ability to manage and coordinate data projects across multiple teams and departments
Awareness of current and emerging data trends, challenges, and opportunities.

Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation