Advisor III, Data Engineering

Phillips 66 & YOU - Together we can fuel the future

As an Advisor III, Data Engineering, you’ll apply your analytical and technical expertise to support data-driven decisions, working closely with partners across the business to solve complex problems. It’s a great opportunity for someone who enjoys combining hands‑on data work with thoughtful collaboration and real‑world impact.

• Partner with business leaders and stakeholders to understand goals and translate complex requirements into scalable data and analytics solutions.
• Design and build ETL/ELT pipelines in Databricks using Py Spark and SQL
  , optimizing for performance, cost, and reliability.

• Model data for analytics and operational use cases using dimensional modeling (star/snowflake), 3NF
  , and (nice‑to‑have)
  Data Vault 2.0 best practices.
• Implement and maintain Delta Lake tables with proper partitioning, Z‑ordering, and OPTIMIZE/VACUUM strategies; manage schema evolution and data quality checks.
• Establish strong data governance
  : cataloging, lineage, access controls (e.g.,
  Unity Catalog
  ), PII handling, and documentation.
• Build and operate orchestrated workflows (e.g., Databricks Jobs,
  Airflow
  , Azure Data Factory
  /
  Synapse pipelines); implement monitoring, alerting, and SLAs.
• Collaborate with platform and Dev Ops teams to implement CI/CD for data (e.g., Git,
  Databricks Repos
  , unit/integration tests), and IaC (e.g.,
  Terraform
  ) for repeatable environments.

• Collaborate with cross-functional teams to support model development, validation, and deployment, including machine learning and AI‑enabled solutions.
• Continuously look for opportunities to improve processes, increase efficiency, and reduce operational risk through better use of data.

• Legally authorized to work in the job posting country
• High School Diploma or GED equivalent
• 3 or more years of relevant experience in data engineering, analytics, or data science roles, with the ability to work independently on complex problems
• Hands‑on experience with one major cloud;
  Azure, AWS or GCP
• Advanced Proficiency in building pipelines in Databricks (Spark, SQL, Delta Lake)
• Advanced Proficiency in data modeling skills such as dimensional modeling/3NF
• Advanced Proficiency in SQL, Python (PySpark) and distributed data processing
• Advanced Proficiency in Unity Catalog, Delta Live Tables, dbt on Databricks, or Photon
• Advanced Proficiency in BI/analytics (Power BI, Tableau) or ML feature engineering
• Intermediate Proficiency in Git‑based workflows, CI/CD, testing strategies, and infrastructure‑as‑code
• Intermediate Proficiency in data governance, security, and privacy/PII best practices
• Intermediate Proficiency in event/stream processing (Kafka, Kinesis, Event Hubs)
• Intermediate Proficiency in cost optimization and performance tuning in Spark/Databricks

• 3 or more years of hands‑on experience in software or data development, including end‑to‑end solution delivery
• Experience working in cloud‑based analytics environments such as Microsoft Azure or AWS
• Familiarity with machine learning, predictive analytics, or supporting AI‑enabled solutions in a production setting
• Background in optimizing data pipelines, SQL queries, or analytical code for performance and scalability
• Prior experience supporting business teams in non‑IT or operational environments, particularly within data‑intensive industries
• Strong communication skills with the ability to explain technical concepts to diverse audiences
• Experience translating business needs into practical data and analytics solutions through collaboration with non‑technical partners
• Solid understanding of data quality, governance, and best practices for working with structured data

This position has a base salary range of $121,500 - $148,500.

At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate's experience, skills, and alignment with the role’s requirements. Offers are made to ensure internal…