Senior Advisor II, Data Architect

Phillips 66 • Houston, TX

23h

About The Position

At Phillips 66, the Senior Advisor II, Data Architect plays a key role in shaping how digital and data capabilities support business priorities at scale. This position is ideal for a seasoned architect who brings strategic perspective, strong technical judgment, and a passion for modern, well‑designed solutions. You’ll operate as a trusted individual contributor, influencing direction, strengthening foundations, and helping the organization stay prepared for what’s next.

Requirements

• High School Diploma or GED equivalent
• 6 or more years of experience in data architecture, digital architecture, or closely related technology roles, with demonstrated depth in designing and advising on enterprise‑scale solutions
• Advanced proficiency in: Databricks (Spark, SQL, Delta Live Tables, Unity Catalog) Delta Lake and lakehouse architectures Medallion Architecture design and implementation
• Advanced proficiency in distributed data systems, Spark optimization, and big data processing
• Advanced proficiency in data modeling, ETL/ELT design, and performance optimization
• Advanced proficiency in programming skills using Python and SQL
• Experience implementing data governance frameworks, cataloging solutions, lineage tools, and security models
• Hands-on experience with at least one cloud platform; Azure, AWS or GCP
• Legally authorized to work in the job posting country

Nice To Haves

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field
• Experience designing data architectures in cloud or hybrid environments, including data lakes, data warehouses, or lakehouse patterns
• Advanced proficiency in programming skills using Scala or PySpark
• Familiarity with ML/AI pipelines, MLOps frameworks, and feature store concepts
• Knowledge of CI/CD pipelines, DevOps, and Infrastructure as Code for data platforms
• Familiarity with data governance, metadata management, and data quality practices in large or regulated organizations
• Experience supporting analytics, reporting, or advanced use cases such as machine learning or AI enablement
• Background in energy, manufacturing, logistics, or other asset‑intensive industries
• A track record of staying current with emerging technologies and applying them thoughtfully to real-world business challenges
• Strong ability to analyze current‑state environments, define future‑state architectures, and guide complex change initiatives from concept through execution
• Proven experience partnering with technical and business stakeholders to translate requirements into pragmatic, scalable architecture decisions
• Advanced knowledge of data platforms, integration patterns, and architectural standards used in modern enterprise environments
• Ability to work independently, exercise sound judgment, and provide guidance as a trusted subject‑matter expert

Responsibilities

• Design and maintain the end‑to‑end enterprise data architecture leveraging Databricks, Delta Lake, and Medallion (Bronze/Silver/Gold) Architecture.
• Define scalable, future‑proof data models and pipelines that support structured, semi‑structured, and unstructured data at enterprise scale.
• Develop and maintain architectural principles, patterns, and standards to ensure consistency across data engineering teams.
• Lead the evolution of the data platform toward open, cloud‑native, and interoperable technologies.
• Architect and optimize Delta Lake storage layers for reliability, performance, ACID transactions, schema evolution, and data quality enforcement.
• Develop standards for ingestion frameworks, ETL/ELT pipelines, streaming architectures, and transformation logic.
• Partner with platform teams to optimize Databricks compute architecture, cluster design, and cost management strategies.
• Evaluate and implement new technologies, capabilities, and data tools to enhance the platform.
• Establish best practices for data governance, security, lineage, cataloging, and quality monitoring.
• Define naming standards, folder structures, coding conventions, and repository patterns for cross‑team consistency.
• Work with InfoSec and compliance teams to ensure adherence to corporate and regulatory requirements.
• Implement reusable frameworks for data validation, testing, and observability.
• Partner with data engineering, analytics, product, and business teams to define data requirements and design solutions.
• Mentor senior and junior data engineers on architectural patterns and coding best practices.
• Communicate architectural decisions and tradeoffs to technical and non-technical audiences.
• Provide guidance on project planning, roadmap development, and architectural reviews.

Benefits

• Annual Variable Cash Incentive Program (VCIP) bonus
• 8% 401k company match
• Cash Balance Account pension
• Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
• Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED