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Senior Advisor II, Data Architect
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-03-01
Listing for:
-
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Data Engineer
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.
WhatYou’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.
- 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 Info Sec 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.
- 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
- 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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