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Senior Advisor II, Data Architect

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: -
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Phillips 66 & YOU - Together we can fuel the future

At Phillips 66, the Senior Advisor II, Data Architect plays a key role in shaping how digital and data capabilities support business priorities s 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.

What

You’ll Do Architectural Leadership
  • 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.
Data Engineering & Platform Design
  • 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.
Governance, Quality & Standards
  • 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 Info Sec and compliance teams to ensure adherence to corporate and regulatory requirements.
  • Implement reusable frameworks for data validation, testing, and observability.
Collaboration & Leadership
  • 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.
What You’ll Bring - Required
  • 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
What Makes You Stand Out - Preferred
  • 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 Py Spark
  • Familiarity with ML/AI pipelines, MLOps frameworks, and feature store concepts
  • Knowledge of CI/CD pipelines, Dev Ops, 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…
Position Requirements
10+ Years work experience
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