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Data and Insights Architect
PBF Energy. Define and implement long-term data technology strategy and roadmap .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture and engineering, with a strong focus on developing scalable data solutions and ensuring compliance with governance and regulatory standards. Proficient in modern data platforms and architectures, with a commitment to optimizing performance and cost efficiency.
Highest-signal resume keywords
Data ArchitectureModern Data PlatformsETL/ELT ProcessesCloud CertificationsBI Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureDatabase DesignData EngineeringData WarehousingData ModelingETLAnalytics ArchitectureStreaming ArchitecturesReal-Time ArchitecturesData Governance
Soft Skills
Stakeholder EngagementCross-Functional CollaborationArchitectural Guidance
Tools & Technologies
AzureSAP DataspherePower BITableauAzure DevOpsSnowflakeDatabricksRedshiftBigQuerySynapse
Certifications & Qualifications
AWS CertificationAzure CertificationGCP Certification
Industry Keywords
Data Technology StrategyData Architecture RoadmapGovernance StandardsPrivacy ComplianceEnterprise Environments
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformSnowflakeTableau
About the role
Key responsibilities & impact- Define and implement long-term data technology strategy and roadmap
- Simplify and modernize data architecture, ensuring reusable services and cost efficiency
- Develop and maintain data architecture roadmap, catalog, and integration frameworks
- Establish best practices, patterns, and frameworks for modern data solutions
- Partner with engineers, developers, BI teams, and business stakeholders to deliver scalable data solutions
- Translate business requirements into reusable architectures
- Provide architectural guidance and secure senior stakeholder engagement for strategic alignment
- Ensure solutions are secure, performant, resilient, and cost-effective
- Define standards for data access, APIs, streaming, and real-time use cases
- Continuously monitor and optimize architecture
- Develop and maintain conceptual, logical, and physical data models
- Ensure compliance with governance, privacy, and regulatory standards
- Stay current with emerging data technologies and recommend improvements
- Participate in cross-functional IT initiatives
- Work onsite five days a week at company headquarters or a refinery location
Requirements
What you’ll need- Bachelor’s in Data Science, Computer Science, Information Systems, or equivalent experience
- 7+ years in data architecture, database design, or data engineering
- Experience leading data warehousing, analysis, and modeling projects
- Expertise in modern data platforms (Azure, Fabric, SAP Datasphere)
- Strong knowledge of ETL/ELT, integration, analytics architecture, and governance
- Experience with BI tools (Power BI, Tableau) and Azure DevOps
- Familiarity with Snowflake, Databricks, Redshift, BigQuery, Synapse
- Experience with streaming and real-time architectures
- Cloud certifications (AWS, Azure, GCP)
- Background in regulated or complex enterprise environments
- Expected travel: 10%
Benefits
Comp & perks- Bonus eligibility
- Health care
- Retirement benefits
- Paid time off
- Opportunity for performance-based salary increases
- Reasonable accommodations as required by law