
Data Architect- Energy Industry
- Houston, TX
- Permanent
- Full-time
- Lead the design and implementation of enterprise-grade data architectures supporting refining, logistics, commercial, and corporate operations.
- Partner with data engineers, analysts, data scientists, and business stakeholders to develop robust data pipelines, models, and integration frameworks.
- Architect solutions across cloud (e.g., AWS, Azure) and hybrid environments using best-in-class technologies and Phillips 66 standards.
- Define and implement data modeling standards for structured, semi-structured, and time-series data-especially historian and SCADA systems.
- Ensure high data quality, lineage, and governance across the lifecycle of critical datasets.
- Support the creation of scalable data lakes and data warehouses that enable advanced analytics, reporting, and ML model development.
- Guide the adoption of metadata management tools, cataloging platforms, and data observability frameworks.
- Define reference architectures and reusable patterns to accelerate delivery across teams.
- Influence the organization's data strategy, including platform modernization, master data, and integration with OT/IT systems.
- 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
- 8 or more years of experience in data architecture, data engineering, or enterprise IT-ideally in energy, manufacturing, or logistics
- Hands-on experience designing data platforms using AWS, Azure, or Google Cloud (Azure experience preferred)
- Expertise in designing modern data pipelines using tools such as Databricks, Snowflake, Spark, Airflow, or Informatica
- Strong knowledge of data warehousing, data lakes, lakehouse architectures, and hybrid cloud environments
- Proficiency in data modeling (dimensional, relational, NoSQL), ETL/ELT, and schema design
- Knowledge of master data management, data governance, and compliance frameworks
- Experience in the oil & gas industry, particularly in refining, midstream logistics, or commercial trading
- Familiarity with data mesh concepts and distributed data ownership frameworks
- Experience integrating ERP systems (e.g., SAP), enterprise asset management (e.g., Maximo), and field operations data
- Background in enabling ML/AI platforms by designing feature stores, model input/output pipelines, or metadata stores
- Understanding of cybersecurity, access control, and regulatory data compliance in industrial environment
- Familiarity with industrial data systems such as OSIsoft PI, SCADA, and DCS
- Experience working with large-scale time-series data and real-time data streaming (Kafka, Kinesis, etc.)
- 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