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Par Pacific Holdings, Inc. · 8 hours ago

Data Architect

Houston, TX

Full-time

Onsite

Senior Level

7+ years exp

Par Pacific Holdings, Inc. is a growth-oriented energy company seeking a Data Architect to drive their cloud-forward data architecture strategy. The role involves designing and governing enterprise data architecture, ensuring high-performance data platforms, and implementing AI/ML pipelines to enhance data-driven decision-making across the organization.

EnergyLogisticsOil and Gas

No H1B

Responsibilities

Define enterprise data models, integration patterns, and metadata management standards

Architect and oversee data pipelines, data warehouses, and data lakehouse environments (BigQuery and SAP BW/4HANA preferred)

Partner with IT and business stakeholders to ensure data consistency, security, and performance across business units

Implement AI/ML pipelines in Vertex AI, integrating feature stores, model training, model deployment, and MLOps best practices to operationalize predictive insights

Guide data migration and cloud modernization strategies (e.g., from legacy BW to cloud-native analytics)

Utilize data mining techniques and develop data models to assist in the visualization and interpretation of data

Design reference architectures and governance standards for GCP data services, including IAM, data lineage, data quality, and cross-domain semantic modeling

Partner with business leads to fulfill analytic and reporting requests as the domain data resource reference; you'll assist in creating and supporting a self-service style analytics platform among stakeholders

Enhance our capability to analyze and "make sense" of large sets of data and translate findings in a visually appealing manner that tell a story and help Par make better data-driven decisions

Identify opportunities for process improvement and continue maintaining awareness and applicability of new and emerging BI tools and processes

Develop standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provide ongoing support for data users

Qualification

Google BigQueryData architectureGCP Cortex FrameworkML-Ops principlesSAP BW/4HANAPower BIAdvanced SQLPythonData engineering toolsData mining techniquesData visualizationProcess improvementStatistical toolsCloud Analytics