Advisor III, Data Engineering

Phillips 66 • Bartlesville, OK

1d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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 PySpark 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 DevOps 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.

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